Power Query Text Cleanup: Split, Merge, Trim & Clean in Power BI (DAY 13)
Автор: DataMinds Academy
Загружено: 2025-12-06
Просмотров: 14
Cleaning messy text fields is one of the most important steps when preparing data for reports. In this video, we’ll explore how to clean, shape, and transform text using essential tools inside Power Query. This includes how to Split columns using delimiters, Merge text columns, and apply Trim and Clean functions to remove errors caused by unwanted spaces and invisible characters.
If you’re working with customer names, product IDs, email addresses, or location data — text cleanup is a must before building reports. That’s why learning Text Column Transformations (Split, Merge, Trim, Clean) in Power BI will help you create clean, accurate, and useful datasets.
By the end of this tutorial, you will be comfortable with:
✔ Splitting text into multiple columns
✔ Merging two or more columns
✔ Removing extra spaces
✔ Fixing formatting errors using Trim and Clean
✔ Practical examples you can apply immediately
This lesson is part of the Power Query data cleaning series on DataMinds Academy.
If you find this useful, please Like 👍, Subscribe 🔔, and Comment 💬 what dataset format you struggle with most.
#PowerBI #PowerQuery #DataCleaning #PowerBIforBeginners #BusinessIntelligence #DataTransformation #PowerBITraining #DataMindsAcademy
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