Update Siddhi docs on distinctCount incremental aggregator.
@@ -1762,7 +1762,7 @@ This not only allows you to calculate aggregations with varied time granularity,
**Purpose**
Incremental aggregation allows you to retrieve the aggregate value for different time durations.
-That is, it allows you to obtain aggregates such as `sum`, `count`, `avg`, `min`, `max`, and `count`
+That is, it allows you to obtain aggregates such as `sum`, `count`, `avg`, `min`, `max`, `count` and `distinctCount`
of stream attributes for durations such as `sec`, `min`, `hour`, etc.
This is of considerable importance in many Analytics scenarios because aggregate values are often needed for several time periods.
