Now that we can apply custom format strings to fields and measures in Power BI in the September 2019 release, I thought it would be useful to provide some examples of what’s possible with this very flexible new feature because the existing documentation for VBA isn’t easy to make sense of. In fact there’s so much to say I’m going to have to write a series of blog posts to cover everything! In this first post I’m going to look at formatting numbers.
A few years ago I blogged about the Table.Profile M function and how you could use it to create a table of descriptive statistics for your data:
Since that post was written a new, optional second parameter has been added to the function called additionalAggregates which allows you to add your own custom columns containing aggregate values to the output of Table.Profile, so I thought I’d write a follow-up on how to use it.
With data clearly taking the position as king in today’s business world, it’s important to have a tool that can help you tame it and use it to your advantage. Microsoft is all about helping you create a “data culture” in your organization—in other words, taking advantage of data across the organization to tackle any problem and meet any goal. Microsoft Power BI does just that…but what about other tools? Yes, there are other options, but there are so many benefits offered by Power BI that we believe it’s clearly the best choice. Here are 5 reasons why we love Power BI:
The problem of blank values being shown in a Power BI slicer is fairly well known, but did you know that in some circumstances slicers can show other values that you would not expect to see? While there’s a good reason for this it can nevertheless be mildly confusing for developers and end users alike when it happens.
In addition to integrating Power BI into Business Central, it could be useful to be able to use a fast access portal or receive scheduled reports from Power BI automatically without going through the complete Power BI (Pro and Premium) solution. All this is already existing and usable if I use Power BI Premium license or Pro license, or if I integrate MS-Flow, MS-Sharepoint Online etc. etc
Although the conditional formatting by rules feature in Power BI was released a long time ago, one very common cause of confusion is with how to implement basic “greater than” or “less than” rules. For example, say you have a table with the following data in it:
I was doing some online shopping last week and saw a price slicer with a histogram to show the concentration of price points. I thought it was pretty cool, so decided to see if I could build this in Power BI. I came up with a solution that works, and in this article I show you how you can do it yourself.