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doc/source/user_guide/scale.rst
@@ -93,9 +93,9 @@ Use efficient datatypes
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The default pandas data types are not the most memory efficient. This is
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-especially true for high-cardinality text data (columns with relatively few
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-unique values). By using more efficient data types you can store larger datasets
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-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.
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.. ipython:: python
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