Add frequencies_as_map docs

pages/advanced-algorithms/available-algorithms.mdx

@@ -139,6 +139,7 @@ This table shows the mapping between APOC functions/procedures and their Memgrap
 | apoc.coll.removeAll | Removes defined elements from the input list | [collections.remove_all()](/advanced-algorithms/available-algorithms/collections#remove_all) |
 | apoc.coll.contains | Verifies the existence of an input value in an input list | [collections.contains()](/advanced-algorithms/available-algorithms/collections#contains) |
 | apoc.coll.flatten | Returns flattened list of inputs provided | [collections.flatten()](/advanced-algorithms/available-algorithms/collections#flatten) |
+| apoc.coll.frequenciesAsMap | Returns a map of frequencies of the items in the collection  | [collections.frequencies_as_map()](/advanced-algorithms/available-algorithms/collections#frequencies_as_map) |
 | apoc.coll.pairs | Creates pairs of neighbor elements within an input list | [collections.pairs()](/advanced-algorithms/available-algorithms/collections#pairs) |
 | apoc.coll.toSet | Converts the input list to a set | [collections.to_set()](/advanced-algorithms/available-algorithms/collections#to_set) |
 | apoc.coll.sum | Calculates the sum of listed elements | [collections.sum()](/advanced-algorithms/available-algorithms/collections#sum) |

pages/advanced-algorithms/available-algorithms/collections.mdx

@@ -331,6 +331,39 @@ RETURN collections_module.flatten(input_list) as result
 +---------------------------------------------------------+
 ```
 
+### `frequencies_as_map()`
+
+Returns a map of frequencies of the items in the collection.
+
+<Callout type="info">
+This function is equivalent to **apoc.coll.frequenciesAsMap**.
+</Callout>
+
+{<h4 className="custom-header"> Input: </h4>}
+
+- `coll: List[Any]` ➡ The collection whose item frequencies will be counted.
+
+{<h4 className="custom-header"> Output: </h4>}
+
+- `Map[String, Integer]` ➡ A map where keys are string representations of the
+items, and values are their frequencies.
+
+{<h4 className="custom-header"> Usage: </h4>}
+
+The following query will count the frequency of each element in the list:
+
+```cypher
+RETURN collections.frequencies_as_map([1, 1, 2, 1, 3, 4, 1, 3]) AS result;
+```
+
+```plaintext
++---------------------------------------------------------+
+| result                                                  |
++---------------------------------------------------------+
+| {"1": 4, "2": 1, "3": 2, "4": 1}                        |
++---------------------------------------------------------+
+```
+
 ### `pairs()`
 
 Creates pairs of neighbor elements within an input list.