diff --git a/content/v2.0/query-data/guides/conditional-logic.md b/content/v2.0/query-data/guides/conditional-logic.md
index 2aa0c36c9..c6a781494 100644
--- a/content/v2.0/query-data/guides/conditional-logic.md
+++ b/content/v2.0/query-data/guides/conditional-logic.md
@@ -29,7 +29,7 @@ Conditional expressions are most useful in the following contexts:
 - When using functions that operate on a single row at a time (
   [`filter()`](/v2.0/reference/flux/functions/built-in/transformations/filter/),
   [`map()`](/v2.0/reference/flux/functions/built-in/transformations/map/),
-  [`reduce()`](/v2.0/reference/flux/functions/built-in/transformations/aggregations/reduce) ).
+  [`reduce()`](/v2.0/reference/flux/functions/built-in/transformations/aggregates/reduce) ).
 
 ## Examples
 
diff --git a/content/v2.0/query-data/guides/custom-functions/custom-aggregate.md b/content/v2.0/query-data/guides/custom-functions/custom-aggregate.md
index c72f25da2..61ac57bbd 100644
--- a/content/v2.0/query-data/guides/custom-functions/custom-aggregate.md
+++ b/content/v2.0/query-data/guides/custom-functions/custom-aggregate.md
@@ -145,7 +145,7 @@ and the `reduce()` function to aggregate rows in each input table.
 ### Create a custom average function
 This example illustrates how to create a function that averages values in a table.
 _This is meant for demonstration purposes only.
-The built-in [`mean()` function](/v2.0/reference/flux/functions/built-in/tranformations/aggregates/mean/)
+The built-in [`mean()` function](/v2.0/reference/flux/functions/built-in/transformations/aggregates/mean/)
 does the same thing and is much more performant._
 
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