typo

Author: chelsea-lin

notebooks/dataframes/struct_and_array_dtypes.ipynb

@@ -266,7 +266,7 @@
     }
    ],
    "source": [
-    "# Adjuste the scores\n",
+    "# Adjust the scores\n",
     "adj_scores = (scores + 5) / 105.0 * 100.0\n",
     "adj_scores"
    ]
@@ -382,7 +382,7 @@
    "source": [
     "# Struct Data Types\n",
     "\n",
-    "In BigQuery, an [struct](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#struct_type) (also known as a `record`) is a collection of ordered fields, each with a defined data type (required) and an optional field name. BigFrames maps BigQuery struct types to the Pandas equivalent, `pandas.ArrowDtype(pa.struct())`. In this section, we'll explore practical code examples illustrating how to work with struct columns within your BigFrames DataFrames."
+    "In BigQuery, a [struct](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#struct_type) (also known as a `record`) is a collection of ordered fields, each with a defined data type (required) and an optional field name. BigFrames maps BigQuery struct types to the Pandas equivalent, `pandas.ArrowDtype(pa.struct())`. In this section, we'll explore practical code examples illustrating how to work with struct columns within your BigFrames DataFrames."
    ]
   },
   {