diff --git a/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst b/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst
index 13029173b2e65..aecd90a071129 100644
--- a/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst
+++ b/doc/source/getting_started/comparison/comparison_with_spreadsheets.rst
@@ -89,13 +89,6 @@ Both `Excel <https://support.microsoft.com/en-us/office/import-data-from-externa
 and :ref:`pandas <10min_tut_02_read_write>` can import data from various sources in various
 formats.
 
-Excel files
-'''''''''''
-
-Excel opens `various Excel file formats <https://support.microsoft.com/en-us/office/file-formats-that-are-supported-in-excel-0943ff2c-6014-4e8d-aaea-b83d51d46247>`_
-by double-clicking them, or using `the Open menu <https://support.microsoft.com/en-us/office/open-files-from-the-file-menu-97f087d8-3136-4485-8e86-c5b12a8c4176>`_.
-In pandas, you use :ref:`special methods for reading and writing from/to Excel files <io.excel>`.
-
 CSV
 '''
 
@@ -125,6 +118,27 @@ would be:
    # alternatively, read_table is an alias to read_csv with tab delimiter
    tips = pd.read_table("tips.csv", header=None)
 
+Excel files
+'''''''''''
+
+Excel opens `various Excel file formats <https://support.microsoft.com/en-us/office/file-formats-that-are-supported-in-excel-0943ff2c-6014-4e8d-aaea-b83d51d46247>`_
+by double-clicking them, or using `the Open menu <https://support.microsoft.com/en-us/office/open-files-from-the-file-menu-97f087d8-3136-4485-8e86-c5b12a8c4176>`_.
+In pandas, you use :ref:`special methods for reading and writing from/to Excel files <io.excel>`.
+
+Let's first :ref:`create a new Excel file <io.excel_writer>` based on the ``tips`` dataframe in the above example:
+
+.. code-block:: python
+
+    tips.to_excel("./tips.xlsx")
+
+Should you wish to subsequently access the data in the ``tips.xlsx`` file, you can read it into your module using
+
+.. code-block:: python
+
+    tips_df = read_excel("./tips.xlsx", header=None)
+
+You have just read in an Excel file using pandas!
+
 
 Limiting output
 ~~~~~~~~~~~~~~~