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Power Query: Home Tab – Mastering the Reduce Rows Section

  • Writer: Fakhriddinbek
    Fakhriddinbek
  • 6 days ago
  • 3 min read

Updated: 3 days ago

In the world of data transformation, Power Query is a game-changer. Whether you're cleaning up messy spreadsheets, preparing reports, or building dashboards, Power Query helps you automate and streamline your data prep process.


One of the most powerful yet often overlooked features in Power Query is the “Reduce Rows” section found under the Home tab. This set of tools allows you to filter, remove, and keep specific rows based on your criteria—making your data cleaner, leaner, and more meaningful.


In this guide, we’ll explore what the “Reduce Rows” section does, how to use each option effectively, and why it’s essential for anyone working with data in Excel or Power BI.


Power Query window showing a table with GDP data by country and year. Advanced Editor displays code. Menu options for row actions are highlighted.
Editing data using Power Query in Excel, with advanced coding to transform and clean a table showing GDP forecasts from different countries for the year 2025. Various options for row management, including removing duplicates and errors, are highlighted.

Where to Find Power Query: Home Tab – Mastering the Reduce Rows Section?

When you open Power Query Editor (via Excel or Power BI), you’ll find the Home tab at the top. Within this tab, the “Reduce Rows” group includes several key commands:

  • Remove Rows

  • Keep Rows

  • Remove Duplicates

  • Remove Errors

These commands are designed to help you filter out unnecessary data, focus on relevant records, and prepare your dataset for analysis.


Remove Rows: Clean Out the Clutter

The Remove Rows dropdown gives you several options:


Remove Top Rows

Removes a specified number of rows from the top of the dataset. Useful when your data includes headers or notes at the beginning.


Remove Bottom Rows

Removes rows from the end of the dataset. Handy for trimming summary rows or footers.


Remove Alternate Rows

Removes every nth row starting from a specified position. Great for sampling or cleaning up patterned data.


Remove Duplicates

Removes duplicate rows based on selected columns. This is crucial for ensuring data integrity.


Remove Blank Rows

Eliminates rows that contain no data. A quick way to tidy up your dataset.


Keep Rows: Focus on What Matters

The Keep Rows dropdown allows you to retain only the rows you need:


Keep Top Rows

Keeps a specified number of rows from the top. Useful for previewing or sampling data.


Keep Bottom Rows

Keeps rows from the end of the dataset. Ideal for keeping recent entries or summaries.


Keep Range of Rows

Keeps a specific range of rows based on position. Perfect for slicing data.


Keep Duplicates

Keeps only the rows that are duplicated. Useful for identifying anomalies or repeated entries.


Remove Errors: Clean Up Faulty Data

This command removes rows that contain errors—such as invalid data types, missing values, or formula issues. It’s a quick way to ensure your dataset is error-free before loading it into Excel or Power BI.


Why “Reduce Rows” Is Essential

Using Power Query: Home Tab – Mastering the Reduce Rows Section:

  • Improve performance by reducing dataset size

  • Enhance accuracy by removing irrelevant or faulty data

  • Streamline analysis by focusing on meaningful records

  • Automate cleaning tasks that would take hours manually

Whether you're working with thousands of rows or just a few, these tools make your workflow faster and smarter.


Real-World Use Cases


Business Reporting

Remove blank rows and duplicates from sales data before generating monthly reports.


Academic Research

Keep only the top 100 survey responses for analysis, or remove alternate rows from experimental logs.


Dashboard Building

Remove errors and keep only recent entries to ensure your Power BI dashboard reflects clean, current data.


FAQs About “Reduce Rows” in Power Query


Q: Can I undo a row reduction step?

Yes! Power Query is step-based. You can delete or modify any step in the Applied Steps pane.


Q: Does “Remove Duplicates” work across all columns?

By default, yes. But you can select specific columns to check for duplicates.


Q: What happens to removed rows?

They’re excluded from the final dataset but remain in the original source file.


Q: Can I use “Reduce Rows” with conditional logic?

For advanced filtering, use the Filter Rows option or write custom M code.


Productivity Gains from “Reduce Rows”

Let’s say manual data cleaning takes 2 hours per week. Using Power Query’s “Reduce Rows” tools, you can cut that down to 15 minutes. That’s 1 hour and 45 minutes saved weekly, or 90+ hours a year!

That’s over two full workweeks reclaimed—just by using smart row reduction techniques.


Ready to Clean Your Data Like a Pro?

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