Fix docs

Signed-off-by: Nghia Truong <[email protected]>

docs/compatibility.md

@@ -85,15 +85,16 @@ considered to be a rare occurrence.
 
 ### `NaN` vs `NaN`
 
-Apache Spark does not have a consistent way to handle `NaN` comparison. Sometimes, All `NaN` are 
-considered as one unique value while other times they can be treated as different. The outcome of 
+Apache Spark does not have a consistent way to handle `NaN` comparison. Sometimes, All `NaN` are
+considered as one unique value while other times they can be treated as different. The outcome of
 `NaN` comparision can differ in various operations and also changes over time. Due to such complexity,
-our plugin cannot guarantee to always match its output with Apache Spark if there are `NaN` values 
+our plugin cannot guarantee to always match its output with Apache Spark if there are `NaN` values
 in the input.
 
-For example, the `inset` operator can treat `NaN` as different values in Spark 3.0.2 and 3.1.2 but 
-considers them as the same in Spark 3.0.4, 3.1.3, and from Spark 3.2.0 (see the [issue](https://issues.apache.org/jira/browse/SPARK-36792)). On the other hand, our plugin always compares all `NaN` as equal 
-value.
+For example, the `inset` operator can treat `NaN` as different values in Spark 3.0.2 and 3.1.2 but
+considers them as the same in Spark 3.0.4, 3.1.3, and from Spark 3.2.0
+(see the [issue](https://issues.apache.org/jira/browse/SPARK-36792)).
+On the other hand, our plugin always compares all `NaN` as equal value.
 
 
 ## Decimal Support