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Fix language in docs/sources/features/panels/heatmap.md

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Mohit Nain 2020-03-26 12:30:10 +05:30 committed by GitHub
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docs/sources/features/panels/heatmap.md
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@ -15,7 +15,7 @@ weight = 4
> New panel only available in Grafana v4.3+
The Heatmap panel allows you to view histograms over time. To fully understand and use this panel you need
The Heatmap panel allows you to view histograms over time. To fully understand and use this panel you need to
understand what Histograms are and how they are created. Read on below to for a quick introduction to the
term Histogram.
@ -74,7 +74,7 @@ the time range `1h`. This will make the cells 1h wide on the X-axis.
### Pre-bucketed data
If you have a data that is already organized into buckets you can use the `Time series buckets` data format. This format
requires that your metric query return regular time series and that each time series has a numeric name that represent
requires that your metric query returns regular time series and that each time series has a numeric name that represents
the upper or lower bound of the interval.
There are a number of data sources supporting histogram over time like Elasticsearch (by using a Histogram bucket
@ -108,7 +108,7 @@ change with the bucket count.
## Raw data vs aggregated
If you use the heatmap with regular time series data (not pre-bucketed). Then it's important to keep in mind that your data
is often already by aggregated by your time series backend. Most time series queries do not return raw sample data
is often already aggregated by your time series backend. Most time series queries do not return raw sample data
but include a group by time interval or maxDataPoints limit coupled with an aggregation function (usually average).
This all depends on the time range of your query of course. But the important point is to know that the Histogram bucketing