Power BI Split Columns Tutorial | Data Preparation Made Easy

Описание: In this video, I will show you how to master the Split Column feature in Power Query to clean up messy data instantly. If you are coming from Excel, you might know this as "Text to Columns," but Power BI makes it even more powerful.

We will cover how to separate first and last names, break down address fields by delimiter, and extract numbers from text strings without using complex DAX formulas. This is an essential skill for any Data Analyst or Project Controller to transform raw data into a clean model ready for reporting.

In this tutorial, you will learn: ✅ Split by Delimiter: How to separate text based on commas, spaces, dashes, or custom symbols. ✅ Split by Number of Characters: Perfect for parsing fixed-width codes (like SKU numbers). ✅ Split Digit to Non-Digit: The hidden trick to separate numbers from text instantly. ✅ Split into Rows: How to turn one cell with multiple values into distinct rows (unpivoting).

💡 Why use Power Query? Splitting columns in Power Query (Transform Data) is better than using DAX calculated columns because the transformation happens before the load. This keeps your dataset small and your report performance high.

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📺 Watch Next: How to MERGE Columns in Power BI (The Reverse of this video!): [Link to your Merge Video]

📋 Timestamps: 0:00 - Introduction to Data Cleaning 0:45 - How to access Power Query 1:15 - Splitting by Delimiter (Text to Columns) 2:30 - Splitting by Positions & Characters 3:45 - Advanced Tip: Extract Numbers from Text 4:50 - How to Split into Rows 5:45 - Summary

Hashtags: #PowerBI #PowerQuery #DataCleaning #PMOPREMIUM #DataAnalytics #MicrosoftPowerBI #BusinessIntelligence #ExcelToPowerBI