Sparklines and small multiples are incredibly powerful. They allow you to add a tiny simple graph to a table or a matric that conveys the basic idea or shape of the data in a way that is compact enough to allow for...
Creating and troubleshooting time intelligence measures in Power BI can be tricky work. Getting a measure to work at one granularity is hard enough, but when you start to look at rollup values it's difficult to be confident that you're getting the...
A generally best practice in Power BI is to avoid naming columns in ways that won't make sense to users so things like CustomerFirstName should be broken out with spaces between the words. The problem is that when faced with a big...
Getting a percent of total measure working in DAX, understanding how it's working in a non vague way can be quite a bit trickier. Really it is an ideal pattern to learn some of the underlying behavior of DAX. In this video, we...
When learning DAX, time intelligence formulas are an excellent place to start, and of the many formula patterns out there, “Year to Date” variations might be the best to learn first. The problem is, while writing them is fairly easy, understanding how...
Custom columns are often the lifeblood of any M queries that you build. They give you huge amounts of power but by default remain untyped. You could add a step to type each new column after you create it, or even type...
You've built a simple "Sum for All Categories" measure that is so darn simple that it's impossible for it not to work; but alas it does not. If the category column you were trying to remove from the filter context had a...
If you've got a large number of columns on a table to transform it can be quite a hassle. Here we'll show a way to use List. Transform along with some code fishing techniques to whip up a solution to convert a...
Understanding Context Transition can be super frustrating for a new Power BI user. Definitions for it seem deceptively simple, but wrapping your head around how it actually works within a DAX expression can be painfully difficult. Fear not though my fellow DAXciples,...
Gaining an understanding of Row and Filter Context is among the most difficult challenges facing a new DAX author. Just when you think you've got it, a problem arises and your hard-won mental model seems to crumble before your eye. For a...
Text.Trim() does an excellent job of getting rid of things like " leading spaces" and "trailing spaces " but unlike its' Excel cousin it doesn't handle "excess inner spaces" at all. Granted...
Line charts are the ideal way to show historical data when 'understanding the trend or path of a metric' is what your decision maker is after. Like most good visualizations they can be extremely data dense, showing lots of information in a...
