move links around for readability

docs/source/overview.md

@@ -167,7 +167,7 @@ _Example of data chunking performed on a simple table of data._
 Data chunking within CytoTable involves slicing data sources into "chunks" of rows which all contain the same columns and have a lower number of rows than the original data source.
 CytoTable uses data chunking to reduce the memory footprint of operations on subsets of data.
 CytoTable may be used to create chunked data output by disabling concatenation and joins, e.g. :code:`convert(..., concat=False,join=False, ...)` (:mod:`convert() <cytotable.convert.convert>`).
-Parquet "datasets" (for example, see `PyArrow documentation <https://arrow.apache.org/docs/python/generated/pyarrow.parquet.ParquetDataset.html>`_ or `Pandas documentation <https://pandas.pydata.org/docs/reference/api/pandas.read_parquet.html>`_ on using source paths which are directories) are an abstraction which may be used to read CytoTable output data chunks which are not concatenated or joined.
+Parquet "datasets" are an abstraction which may be used to read CytoTable output data chunks which are not concatenated or joined (for example, see `PyArrow documentation <https://arrow.apache.org/docs/python/generated/pyarrow.parquet.ParquetDataset.html>`_ or `Pandas documentation <https://pandas.pydata.org/docs/reference/api/pandas.read_parquet.html>`_ on using source paths which are directories).
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 ### Data Concatenations