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diff --git a/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst b/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst
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--- a/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst
+++ b/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst
@@ -365,6 +365,27 @@ In Excel, there are `merging of tables can be done through a VLOOKUP
 * It will include all columns from the lookup table, instead of just a single specified column
 * It supports :ref:`more complex join operations <merging.join>`
 
+GroupBy
+-------
+
+In Excel, this can be done by using the `Query Editor <hhttps://support.microsoft.com/en-us/office/about-power-query-in-excel-7104fbee-9e62-4cb9-a02e-5bfb1a6c536a>`_.
+
+.. image:: ../../_static/spreadsheets/group-by.png
+
+The equivalent in pandas:
+We can use :meth:`~DataFrame.groupby`.
+For example -
+
+.. ipython:: python
+
+    df = pd.DataFrame(
+        {
+            'Animal': ['Falcon', 'Falcon', 'Parrot', 'Parrot'],
+            'Max Speed': [380., 370., 24., 26.],
+        }
+    )
+    df
+    df.groupby(['Animal']).mean()
 
 Other considerations
 --------------------