Thanks to two recent Power BI features it now possible to generate a link on the fly using DAX to go to a new report and pass in any filters. (Alsop imagine linking to your favorite SSRS report !)
Last year I blogged about how to use the Text.BetweenDelimiters() function to extract all the links from the href attributes in the source of a web page. The code was reasonably simple but there’s now an even easier way to solve the same problem using the new Html.Table() function.
Since my post last week on using the Google Image Charts API to create sparklines and small multiples in Power BI has proved very popular, I thought I would do a follow-up showing how to use the Azure Maps API to create map small multiples. Here’s an example of what’s possible, a table from a sample report I built that displays crimes committed in London (sourced from here) in June 2018 with one row for each crime and a map column displaying the location of the crime:
The excellent work that David Eldersveld has been doing recently on using SVG images in Power BI has generated a lot of interest; now that the August 2018 release of Power BI Desktop allows you to set data categories on measures – and specifically the Image URL data category – David has been able to apply his work to the creation of sparklines and small multiples in Power BI.
When I read about the new conditional formatting by values feature in the August 2018 release of Power BI Desktop, my first thought was to write a blog post on how DAX can be used to generate the hex values for colours – but then Daniil Masyluk wrote an excellent post on that (and more) yesterday.
I had a great question pass my way last week while I was at the Microsoft Business Application Summit. The problem presented by Matt (a different Matt, not me) was that he had around 200 measures already written, but wanted to be able to toggle the report pages between YTD and Full Year data. For the sake of this article I will be using Year to Date (YTD) and Moving Annual Total (MAT) as the 2 toggle events.
My posts from two weeks ago (see here and here) on using Process Monitor to troubleshoot the performance of Power Query queries made me wonder about another question: how does the performance of reading data from CSV files compare to the performance of reading data from Excel files? I think most experienced Power Query users in either Power BI or Excel know that Excel data sources perform pretty badly but I had never done any proper tests.