More than Excel BI
Currently, Power BI does not have a built-in feature that enables you to switch between hierarchy levels with a slicer. While some field wells let you use a hierarchy, others, such as Legend, do not. In this article, I am showing a way to choose a hierarchy level dynamically. Continue reading “Dynamic hierarchies in Power BI”
The November 2017 release of Power BI Desktop contains a new M function: Function.From. Here is the function’s description from the official documentation: Continue reading “New M function: Function.From”
There is a new DAX function coming soon to Power BI Desktop: COMBINEVALUES. It concatenates an unlimited number of values with a delimiter. You can already use the function by connecting to a dataset in Power BI service and creating report-level measures. Continue reading “New DAX function: COMBINEVALUES”
Row-level security is an important part of many data models. In this article, I am showing a way to selectively grant “all” access with dynamic row-level security and only one role. For example, we can let a CEO see the whole data model, but a department head will be able to see their department’s data only. This article presents a more flexible approach in cases where using an organizational hierarchy and PATHCONTAINS would be inappropriate. Continue reading “Configuring “all” access with dynamic row-level security”
DAX, originating in Power Pivot, shares many functions with Excel. As of 2017, some of the functions, such as SLOPE and INTERCEPT, exist in the latter but not in the former. The two functions can be used for a simple linear regression analysis, and in this article I am sharing patterns to easily replicate them in DAX. But first, why would you want to do such analysis? Continue reading “Linear regression in DAX”
A colleague of mine has recently asked to provide him a background image from a Power BI Desktop file I have had shared with him previously. Because sometimes the original images are lost and only preserved in .pbix files, I figured a quick blog post about extracting the images would be useful. Custom themes too can be extracted in the same way. Continue reading “Extracting images and themes from Power BI Desktop files”
If you had tried calculating the Pearson correlation coefficient (PCC) in DAX, you would have likely read Gerhard Brueckl’s excellent blog post. If you haven’t, I encourage you to read it, as it contains a high-level overview of what PCC is. In this article I am showing how the same calculation can be done more efficiently using the new DAX functions, which are available starting with Power Pivot in Excel 2016, Power BI Desktop, SQL Server 2016 Analysis Services, and Azure Analysis Services. Continue reading “Pearson correlation coefficient in DAX”