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DOC: Correct misuse of term high-cardinality in docs. #29811

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6 changes: 3 additions & 3 deletions doc/source/user_guide/scale.rst
Original file line number Diff line number Diff line change
Expand Up @@ -93,9 +93,9 @@ Use efficient datatypes
-----------------------

The default pandas data types are not the most memory efficient. This is
especially true for high-cardinality text data (columns with relatively few
unique values). By using more efficient data types you can store larger datasets
in memory.
especially true for text data columns with relatively few unique values (commonly
referred to as "low-cardinality" data). By using more efficient data types you
can store larger datasets in memory.

.. ipython:: python

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