updated documentation

Documentation/Books/AQL/Examples/Grouping.md

@@ -195,8 +195,9 @@ FOR u IN users
 
 We have used the aggregate functions *LENGTH* here (it returns the length of an array).
 This is the equivalent to SQL's `SELECT g, COUNT(*) FROM ... GROUP BY g`. In addition to
-*LENGTH* AQL also provides *MAX*, *MIN*, *SUM* and *AVERAGE*, *VARIANCE_POPULATION*,
+*LENGTH*, AQL also provides *MAX*, *MIN*, *SUM* and *AVERAGE*, *VARIANCE_POPULATION*,
-*VARIANCE_SAMPLE*, *STDDEV_POPULATION* and *STDDEV_SAMPLE* as basic aggregation functions.
+*VARIANCE_SAMPLE*, *STDDEV_POPULATION*, *STDDEV_SAMPLE*, *UNIQUE*, *SORTED_UNIQUE* and
+*COUNT_UNIQUE* as basic aggregation functions.
 
 In AQL all aggregation functions can be run on arrays only. If an aggregation function
 is run on anything that is not an array, a warning will be produced and the result will

Documentation/Books/AQL/Functions/Array.md

@@ -72,6 +72,10 @@ RETURN COUNT_DISTINCT([ "yes", "no", "yes", "sauron", "no", "yes" ])
 @END_EXAMPLE_AQL
 @endDocuBlock aqlArrayCountDistinct_2
 
+## COUNT_UNIQUE()
+
+This is an alias for [COUNT_DISTINCT()](#countdistinct).
+
 ## FIRST()
 
 `FIRST(anyArray) → firstElement`

Documentation/Books/AQL/Functions/Numeric.md

@@ -103,6 +103,10 @@ AVERAGE( [ -3, -5, 2 ] ) // -2
 AVERAGE( [ 999, 80, 4, 4, 4, 3, 3, 3 ] ) // 137.5
 ```
 
+## AVG()
+
+This is an alias for [AVERAGE()](#average).
+
 CEIL()
 ------
 
@@ -542,6 +546,10 @@ Return the sample standard deviation of the values in *array*.
 STDDEV_SAMPLE( [ 1, 3, 6, 5, 2 ] ) // 2.0736441353327724
 ```
 
+## STDDEV()
+
+This is an alias for [STDDEV_POPULATION()](#stddevpopulation).
+
 SUM()
 -----
 
@@ -606,3 +614,7 @@ Return the sample variance of the values in *array*.
 ```js
 VARIANCE_SAMPLE( [ 1, 3, 6, 5, 2 ] ) // 4.300000000000001
 ```
+
+## VARIANCE()
+
+This is an alias for [VARIANCE_POPULATION()](#variancepopulation).