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Dynamic Bin Analysis Using Percentile Bucketing in Power BI (PBIX Included!) 🎢

How to build context-aware visuals that adapt to user filters — no static ranges, no loss of meaning.

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PBIX available at the end of this article! 🥳


🧭 Introduction

I recently built an expense dashboard where one visual shows how invoices distribute across different amount ranges. The report was highly interactive — users could slice by Department, Category, Period, and more.

With fixed bins (“$0–10K”, “$10–25K”…), the ranges quickly became meaningless when users drilled into narrower slices. Some departments only had small invoices, while others had very large ones — so a static scale didn’t tell the real story anymore.

That’s why I explored percentile-based bins as an alternative. Instead of defining hardcoded ranges, the buckets are recalculated dynamically based on the actual distribution of the filtered data.


You can see in this short demo the visual in the cover image in action:


In the following article, I’ll walk you through how to build your own chart with dynamic amount ranges that automatically adjust to slicer selections. But before diving into the DAX details, let’s clarify what percentile bucketing means — and why it’s so useful for data analysis.



 
 
 
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