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Got 100 Columns? Use This Power Query Trick When you receive exports from systems like SAP, CRM tools, or data warehouses, tables often contain dozens of unnecessary columns. Some columns are completely empty. Others contain the same value in every row, which means they add zero analytical value. In this video, you'll learn a simple Power Query technique that detects and removes those columns automatically. Instead of manually checking every column, we let Power Query: • scan each column • remove null values • count distinct values • keep only columns that contain real variation This trick is especially useful when working with new or unfamiliar datasets, where you don't yet know which columns actually matter. ⚠️ Performance note: This approach works great for small to medium datasets, but if you are dealing with millions of rows, it's usually better to filter unnecessary columns directly in the data source (SQL, SAP, warehouse views, etc.). What you'll learn: • How to detect columns with no variation • How to automatically remove empty or constant columns • Using Table.Column, List.RemoveNulls, List.Distinct, and List.Select • When this technique is useful in real analyst workflows Example file: https://docs.google.com/spreadsheets/... Resources Mentioned: 🔗 Power Query Challenges Playlist: • Power Query: Challenges 🔗 Power Query Tips: • Power Query: Tip & Tricks 🔔 Subscribe for More Tutorials: / @howtolearnexcel #PowerQuery #ExcelTips #HowToLearnExcel