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Most analysts create a pie chart with 15+ countries and wonder why it looks terrible. Here's the real problem: dropping small slices or showing only top N groups is wrong — it gives management false percentages. In this video, I show you the correct way to handle this in Power BI using DAX — group all small slices into a single "Others" category without hiding any data. This works for donut charts and pie charts. Fully dynamic. Responds to your existing filters. ━━━━━━━━━━━━━━━━━━━━━━ WHAT YOU WILL BUILD ━━━━━━━━━━━━━━━━━━━━━━ ✔ A helper table using UNION + ALLSELECTED ✔ A DAX measure using TOPN, FILTER, MAXX, SELECTCOLUMNS ✔ A clean donut chart — top 3 slices + Others — no data loss ━━━━━━━━━━━━━━━━━━━━━━ DOWNLOAD PRACTICE DATA ━━━━━━━━━━━━━━━━━━━━━━ Online Retail Dataset → https://archive.ics.uci.edu/dataset/3... Data Credits: Chen, D. (2015). Online Retail [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5BW33. ━━━━━━━━━━━━━━━━━━━━━━ WHO THIS IS FOR ━━━━━━━━━━━━━━━━━━━━━━ This video is for working data and business analysts — not beginners. If you are already using Power BI and DAX at work, this will save you from a common reporting mistake that gets noticed in executive reviews. ━━━━━━━━━━━━━━━━━━━━━━ MORE FROM theparthee ━━━━━━━━━━━━━━━━━━━━━━ Premium Course - theparthee.com LinkedIn → / theparthee Instagram → / theparthee_com ━━━━━━━━━━━━━━━━━━━━━━ TAGS ━━━━━━━━━━━━━━━━━━━━━━ #PowerBI #DAX #DataAnalytics #BusinessIntelligence #PowerBITips #DataVisualization #theparthee