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Category: Power BI

Grouping and Binning in Power BI

Published 2025-08-07 by Kevin Feasel

Reza Rad pulls an older post out of the archives:

The latest update of Power BI Desktop (October 2016) has many features. Two of these features are grouping and binning. These features used to create groups of items and visualize them better in the report. Previously you could do that by Power Query or DAX calculated columns, now it is all possible simply through the graphical user interface of report editor. In this post I’ll show you how to create banding (binning) and grouping simply with these features. If you like to learn more about Power BI; read the Power BI online book from Rookie to Rock Star.

How long has Curated SQL been around? Long enough that I covered this the first time. But hey, it’s still valid information.

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Data Dictionaries in Power BI

Published 2025-08-06 by Kevin Feasel

Ben Richardson builds a dictionary:

Have you ever opened a Power BI report and felt overwhelmed by all the columns, measures, and tables?

It can feel like a guessing game trying to figure out what each field represents.

A well-built data dictionary eliminates that confusion, giving you clarity and confidence when exploring reports.

This is one of those bits of documentation that can be incredibly useful but people rarely keep it up to date.

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What-If Analysis in Power BI

Published 2025-08-04 by Kevin Feasel

Ben Richardson takes us through a what-if analysis:

What If Analysis is a modelling technique used to evaluate different outcomes by changing key input variables.

In Power BI, it uses What If parameters and dynamic DAX measures that recalculate outputs based on user input. Users can ask questions like:

  • “What if sales increase by 10%?”
  • “What if production costs drop by 5%?”

The parameters are created in the Modelling tab, where you define value ranges. Power BI automatically generates a slicer and a measure, which can then be used in DAX calculations to dynamically adjust metrics like revenue, cost, or profit.

Read on to see how it works, understanding that you have to provide the formulas for behavior. In other words, if your what-if parameter is around the unit price of some product, there is no built-in concept of price elasticity for the product. That’s something you’d have to implement yourself.

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Storytelling with Time Series Scatter Charts in Power BI

Published 2025-08-04 by Kevin Feasel

Reza Rad takes us through data changes:

Column or Bar chart can be easily used for showing a single measure’s insight across a category. Mixed charts such as Line and Column chart can be used for showing two measure and comparing their values across a set of categories. However there are some charts that can be used to show values of three measures, such as Scatter Chart. Scatter chart not only shows values of three measure across different categories, it also has a special Play axis that helps you to tell the story behind the data. In this post you’ll learn how easy is to visualize something with Scatter chart and tell a story with that. If you like to learn more about Power BI, read Power BI online book; from Rookie to Rock Star.

Read on for the blog post as well as a video version.

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Power BI Performance Load Testing in VS Code

Published 2025-07-30 by Kevin Feasel

Gilbert Quevauvilliers wraps up a series on Power BI performance load testing:

This is the final part of my blog series for Power BI Performance testing, where I will finally run the Power BI Performance Load testing using Visual Studio Code.

In this blog post I will show you how I set up the test, run the test and view the outputs from the performance testing.

Read on for that, as well as links to the prior posts if you’re missing them.

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Building out a PBIReport.json File for Power BI Performance Load Testing

Published 2025-07-23 by Kevin Feasel

Gilbert Quevauvilliers continues a series on Power BI performance load testing:

I am going to be using Visual Studio Code to edit the PBIReport.JSON.

It is free to download and use, it works on any device.

And most importantly it will also show you errors in the JSON file. This can help when there are potential issues.

For the test I will be putting in the following details below into the PBIReport.JSON

Click through for the process, which is fairly complex all things considered.

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Goodbye, Default Semantic Models

Published 2025-07-22 by Kevin Feasel

Pradeep Srikakolapu makes an announcement:

Microsoft Fabric is officially sunsetting Default Semantic Models. This change is part of our ongoing efforts to simplify and improve the manageability, deployment, and governance of Fabric items such as warehouse, lakehouse, SQL database, and mirrored databases.

This is definitely a good thing. The idea of a default semantic model wasn’t bad, especially early on in Microsoft Fabric’s development life. But those default models almost never had enough information to do what customers actually want, so they would sit there as a distraction.

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GUID Hunting for Power BI Performance Load Testing

Published 2025-07-17 by Kevin Feasel

Gilbert Quevauvilliers finds some UUIDs:

When completing the Power BI performance load testing, you will need to get details from your Power BI report and App Workspace, which will later be used in the PBIReport.JSON file.

In this blog post I will show you how to find those details, so that when it comes time to add it to the PBIReport.JSON file, it will be easy to plug the values in.

The reason for a separate blog post is because you will have to find the GUIDs that are used, which takes a bit of time and knowledge to find the correct GUID for the right value.

Click through for the most unsatisfying Easter egg hunt you could imagine. Gilbert then continues to pull out slider and filter data values.

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Building a Pareto Chart in Power BI

Published 2025-07-10 by Kevin Feasel

Boniface Muchendu creates a Pareto chart:

Creating a Pareto chart in Power BI is a powerful way to visualize the 80/20 rule in action. This type of chart helps you quickly identify the top contributors to your business metrics—whether you’re analyzing sales, categories, or customer segments. In this guide, you’ll learn how to build a dynamic Pareto chart using DAX, customize it, and apply it across different data dimensions.

Read on for the instructions.

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