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Manipulating Grand Totals with ISINSCOPE in Power BI

ISINSCOPE function was introduced in with November 2018 Power BI update. We can say it's a very young player in the game, but it's definitely magic. It can be used to manage lots of issues related to hierarchies, but in this post, I'm going to focus on manipulating the grand total line with it.  This is my budget forecast table. The budget forecast that you see for every month is not the forecast for every month, but it's the forecast for the whole year. The budget forecast for 2020 has changed every month. That's why we have different numbers for every row. Below you see the table visual with the year-month column and a measure that shows the values for every month. The thing that I want you to pay attention to is the total line. I wanted to see the last month's value for the total line and this is the measure for that.  This measure calculates this: If the year-month column has one value then take the average of that value. If it doesn't have one value, li...
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Customizing Themes With Advanced Elements in Power BI

Advanced Elements is not an intuitive description, that's why I'm going to show you what I'm talking about directly. For my recent project, I've decided to create my own theme for the report. When I was exploring Customize Theme tab, I have come up with the Advanced section. While text, visuals, page, and filter pane sections are self-explanatory, this advanced section seemed quite enigmatic to me. What are the first-level elements? Or the others? I think Microsoft agrees with me upon being enigmatic because the section comes with "Learn more" option: Click to  Learn More . But when I tried to learn more, it didn't make any sense to me, because I'm a visual person and those descriptions are quite hard to remember. That's why I have decided to be a good samaritan and visualize it, and then share it with you.  As you see, while the border is a third-level element, the shadow is a first-level element. Legend, x-axis, and y-axis are second-level elemen...
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Calculating Running Total with Quick Measure in DAX

It's been a while since quick measures were introduced and it might be tricky to decide whether to use them or not. What I have noticed recently is calculating running total with quick measure might not provide the best user experience because it simply doesn't filter explicitly, despite ALLSELECTED function is part of the measure.     This is the quick measure to calculate the running total and it can be seen that ALLSELECTED function is part of the equation. As a result, I got the impression that when I explicitly filter, the measure will retain all the explicit filters but that’s not what happened. This is how it looks like before I use any explicit filter.   Everything looks perfect right. What until I filter 2017 and 2018.     As you see two numbers don't match because quick measure adds up sales of 2016 despite I didn't select 2016 on year slicer and despite quick measure uses ALLSELECTED function. This is the result we were supposed to get if ALL function...
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