🔍 Power BI Keep & Remove Rows | Step-by-Step Guide to Cleaning & Filtering Data 🚀| 1stepGrow Academy

Dealing with messy or unnecessary data in Power BI? Keep Rows & Remove Rows in Power Query help you clean your dataset by removing unwanted data and keeping only relevant records*. Whether you're working with *large datasets, duplicate records, or incomplete data*, these powerful functions allow you to *refine and optimize your data before analysis. In this detailed tutorial, we’ll cover *everything you need to know about Keep & Remove Rows in Power BI*—how to filter datasets, remove unnecessary records, and enhance data quality for *better reporting and visualization*. 🔍 What You'll Learn in This Video: ✅ What are Keep Rows & Remove Rows in Power BI? – Understanding their role in data cleaning ✅ Why Use Keep & Remove Rows? – Best scenarios for each transformation 🔹 How to Use Keep Rows in Power BI (Power Query): Keeping Top Rows – Retaining only the first N rows of a dataset Keeping Bottom Rows – Keeping only the last N rows for trend analysis Keeping Range of Rows – Selecting specific row intervals Keeping Duplicates – Filtering only records that have duplicates Keeping Errors – Retaining only problematic data for troubleshooting 🔹 How to Use Remove Rows in Power BI (Power Query): Removing Top Rows – Skipping unnecessary headers or metadata Removing Bottom Rows – Ignoring trailing data that’s not needed Removing Alternate Rows – Cleaning datasets with irregular row patterns Removing Duplicates – Keeping only unique values to avoid redundancy Removing Errors – Eliminating problematic records for a cleaner dataset ✅ How to Automate Row Filtering with Conditions: Using Conditional Columns to Filter Data Dynamically Applying Custom Filters with M Language for Advanced Data Cleaning ✅ Optimizing Keep & Remove Rows for Performance: Applying transformations at the source level to reduce data load Using Query Folding to enhance refresh efficiency Combining Keep & Remove with other transformations for better structuring ✅ Best Practices for Using Keep & Remove Rows in Power BI: Always preview data before removing rows Avoid removing too many records that might impact analysis Use conditional filtering instead of static row removal for dynamic reports 💡 By the end of this video, you’ll master Keep & Remove Rows in Power BI, allowing you to clean and filter data efficiently for more accurate reports! 🔔 Like, Share & Subscribe for more Power BI tutorials! #PowerBI #PowerQuery #DataCleaning #KeepRows #RemoveRows #DataTransformation #PowerBITutorial #DataPreparation --------------------------------------------------------------------------------------------------------------------------- Learn more at: https://www.1stepgrow.com/ For more information about 1stepGrow courses, visit: Website: https://www.1stepgrow.com/ LinkedIn:   / 1stepgrow   Application: https://play.google.com/store/apps/de... Instagram:   / 1stepgrow_academy   Facebook:   / 1stepgrow   Twitter:   / 1stepgrow   To enroll in courses, book a counselling session and & talk to our expert: https://calendly.com/1step-grow/one-o...