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Table of Contents
What is row grouping? Why is it useful?
How to manually group rows
How to group multiple levels
How to delete or clear a group after grouping
Home Software Tutorial Office Software How to group rows in Excel

How to group rows in Excel

Jul 18, 2025 am 02:41 AM

Row grouping is a hierarchical structure in Excel that combines multiple rows of data into a collapsible expansion, which facilitates efficient viewing of the overall and details. The operation steps are: 1. Select the rows to be grouped, right-click to select "Group" or use the shortcut key Shift Alt →, and a collapse button appears on the left; 2. Group multi-level data multiple times. If you create a multi-level structure by month first and then quarterly, Excel will automatically display buttons at different levels; 3. To delete the group, you can right-click the grouped row and select "Cancel grouping". If you clear all groups, use the "Clear hierarchical display" function, and the data itself will not be affected. This function is particularly practical in report production and data analysis, improving data organization efficiency.

How to group rows in Excel

Grouping rows is a very practical feature in Excel, especially when you work with large amounts of data, which allows you to fold and expand more efficiently to view information at different levels. It is actually not difficult to implement this function, the key is to understand its logic and usage scenarios.

How to group rows in Excel

What is row grouping? Why is it useful?

Row grouping is to merge several rows into a hierarchical structure that can be expanded and collapsed. For example, if you have sales data for a whole year, divided by month, you can group several rows of data from each month, so that you can hide or display specific details just by clicking when viewing.

This feature is especially useful when doing reports, data analysis or organizing structured data. It not only makes the table more tidy, but also makes it easy to switch to view overall and details.

How to group rows in Excel

How to manually group rows

This is the most common and intuitive method, suitable for situations where the data volume is small or the structure is clear.

The operation steps are as follows:

How to group rows in Excel
  • Select the lines you want to group (such as lines 2 to 5)
  • Right-click on the line number and select "Group"
  • Or use the shortcut key Shift Alt →

After the operation is completed, a "-" button will appear on the left. Click to collapse this set of rows. If you want to recover, click the " " sign to expand.

Note: After grouping, if you insert a new row into the group, Excel will usually automatically include the new row into the current group. But if inserted outside the group, it will not be automatically joined.

How to group multiple levels

If your data has multiple levels, such as total sales, quarterly, and monthly, then you can create multi-level groups.

for example:

  • Group by month first (monthly data rows)
  • Then divide the four quarters into one large group

This way you can first collapse all quarters, and then expand a certain quarter to see monthly data as needed.

The operation method is the same as single-layer grouping, but you need to select rows of different ranges to group them multiple times. Excel automatically recognizes the hierarchy and displays fold buttons of different levels on the left.

Tips: Use the "Ranking Display" function in the "Data" tab to quickly view and switch data at different levels.

How to delete or clear a group after grouping

Sometimes you may need to adjust the structure or delete the grouping, which can be done:

  • Select the rows that have been grouped
  • Right-click and select "Cancel grouping"
  • Or click Cancel Grouping in the Data menu

If you want to clear all groups of the entire table at once, you can click "Clear rating display".

Note: Ungrouping is just removing the collapse function and will not delete the data itself, so you can operate with confidence.


Basically that's it. Row grouping looks simple, but if used properly, it can greatly improve data sorting efficiency, especially when making dynamic reports. By mastering these basic operations, you can meet most daily needs.

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