M49637 fixing typos

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Line 25: Extra bracket in image description
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Author: v-maudel

articles/data-factory/data-flow-pivot.md

@@ -22,7 +22,7 @@ The pivot transformation requires three different inputs: group by columns, the
 
 ### Group by
 
-![Group by options](media/data-flow/pivot2.png "[Group by options")
+![Group by options](media/data-flow/pivot2.png "Group by options")
 
 Select which columns to aggregate the pivoted columns over. The output data will group all rows with the same group by values into one row. The aggregation done in the pivoted column will occur over each group.
 
@@ -58,7 +58,7 @@ The below help graphic shows how the different pivot components interact with on
 
 If no values are specified in the pivot key configuration, the pivoted columns will be dynamically generated at run time. The number of pivoted columns will equal the number of unique pivot key values multiplied by the number of pivot columns. As this can be a changing number, the UX will not display the column metadata in the **Inspect** tab and there will be no column propagation. To transformation these columns, use the [column pattern](concepts-data-flow-column-pattern.md) capabilities of mapping data flow. 
 
-If specific pivot key values are set, the pivoted columns will appear in the metadata.e column names will be available to you in the Inspect and Sink mapping.
+If specific pivot key values are set, the pivoted columns will appear in the metadata. The column names will be available to you in the Inspect and Sink mapping.
 
 ### Generate metadata from drifted columns