From 13a3d686b4a533f877045ef57965f23cc81cef78 Mon Sep 17 00:00:00 2001 From: Narek Hovhannisyan Date: Fri, 4 Oct 2024 18:47:32 +0400 Subject: [PATCH] docs: update aggregation --- docs/major-concepts/aggregation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/major-concepts/aggregation.md b/docs/major-concepts/aggregation.md index f263d907..9457ee6c 100644 --- a/docs/major-concepts/aggregation.md +++ b/docs/major-concepts/aggregation.md @@ -38,7 +38,7 @@ There are two fields: `metrics` and `type`. `metrics` is an array of metrics that you want to aggregate. You can provide any value here, but they must match a key that exists in your output data (i.e. if you tell IF to aggregate `carbon` but `carbon` is not in your outputs you will receive an error message and aggregation will fail). You can provide any number of metrics. In the example above, the aggregation feature will operate on the `carbon` and `energy` values. -`type` determines which kind of aggregation you want to perform. The choices are `horizontal` (time-series aggregation only), `vertical` (tree aggregation only) or `both` (both kinds of aggregation will be performed). In the example above, both types of aggregation will be performed over the two selected metrics. +`type` determines which kind of aggregation you want to perform. The choices are `time` (previously `horizontal`: time-series aggregation only), `component` (previously `vertical`: tree aggregation only) or `both` (both kinds of aggregation will be performed). In the example above, both types of aggregation will be performed over the two selected metrics. ## Aggregation methods