From 4fbd974471b62a985e6c923d07ac0a39e69821e0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adam=20Gabry=C5=9B?= Date: Fri, 6 May 2022 15:20:42 +0200 Subject: [PATCH] Doc: correct grammar in labels description (#47300) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Adam Gabryś --- docs/sources/basics/timeseries-dimensions.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sources/basics/timeseries-dimensions.md b/docs/sources/basics/timeseries-dimensions.md index c1422122391..8ea5e19f2dd 100644 --- a/docs/sources/basics/timeseries-dimensions.md +++ b/docs/sources/basics/timeseries-dimensions.md @@ -22,7 +22,7 @@ To identify unique series within a set of time series, Grafana stores dimensions ## Labels -Each time series in Grafana optionally has labels. Labels are set a of key/value pairs for identifying dimensions. Example labels could be `{location=us}` or `{country=us,state=ma,city=boston}`. Within a set of time series, the combination of its name and labels identifies each series. For example, `temperature {country=us,state=ma,city=boston}` could identify the series of temperature values for the city of Boston in the US. +Each time series in Grafana optionally has labels. Labels are a set of key/value pairs for identifying dimensions. Example labels could be `{location=us}` or `{country=us,state=ma,city=boston}`. Within a set of time series, the combination of its name and labels identifies each series. For example, `temperature {country=us,state=ma,city=boston}` could identify the series of temperature values for the city of Boston in the US. Different sources of time series data have dimensions stored natively, or common storage patterns that allow the data to be extracted into dimensions.