From 5d0a577f07084525cb75cd1aa14bcf9ec17b1d9c Mon Sep 17 00:00:00 2001
From: Diana Payton <52059945+oddlittlebird@users.noreply.github.com>
Date: Tue, 19 Jan 2021 13:25:28 -0800
Subject: [PATCH] Docs: Update timeseries-dimensions.md (#30403)

---
 docs/sources/getting-started/timeseries-dimensions.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/sources/getting-started/timeseries-dimensions.md b/docs/sources/getting-started/timeseries-dimensions.md
index bf93bd18d32..26385050462 100644
--- a/docs/sources/getting-started/timeseries-dimensions.md
+++ b/docs/sources/getting-started/timeseries-dimensions.md
@@ -8,9 +8,9 @@ weight = 600
 
 # Time series dimensions
 
-At the end of the ["Time series databases" section of "Introduction to time series"]({{< relref "timeseries.md#time-series-databases" >}}), the concept of _labels_, also called _tags_, is introduced:
+In [Introduction to time series]({{< relref "timeseries.md#time-series-databases" >}}), the concept of _labels_, also called _tags_, is introduced:
 
-> Another feature of a TSDB is the ability to filter measurements using _tags_. Each data point is labeled with a tag that adds context information, such as where the measurement was taken. ...
+> Another feature of a TSDB is the ability to filter measurements using _tags_. Each data point is labeled with a tag that adds context information, such as where the measurement was taken.
 
 With time series data, the data often contain more than a single series, and is a set of multiple time series. Many Grafana data sources support this type of data.