Introduction

When working with data in Power BI, it’s essential to assess its quality, distribution, and structure before performing transformations. Power Query provides built-in tools to help analyze data statistics and column properties, ensuring data accuracy and consistency. In this hands-on Power BI tutorial, we’ll explore three key profiling tools that will help you evaluate your data effectively. Since this topic is relevant for the PL-300 exam, this guide will be a valuable resource for your preparation.

🛠️ Profiling Tools in the Power Query Editor

The Power Query Editor provides three essential tools for data profiling:

  • ✅ Column Quality
  • 📊 Column Distribution
  • 🔍 Column Profile

To enable these tools, open Power Query Editor and navigate to the View tab.

✅ Column Quality

Column Quality provides an overview of data validity, helping you quickly identify and fix errors or missing values before applying transformations.

To enable Column Quality, open Power Query Editor, go to View and select Column quality.

📊 Column Distribution

Column Distribution offers insights into the uniqueness and distinctiveness of values in a column, helping detect inconsistencies or duplicates.

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