(cherry picked from commit 34e4985a44)
Co-authored-by: Diana Payton <52059945+oddlittlebird@users.noreply.github.com>
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co-authored by
Diana Payton
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@@ -16,13 +16,18 @@ and the bar height represents the frequency (such as count) of values that fell
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## Histogram example
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## Histogram example
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This histogram shows the value distribution of a couple of time series. You can easily see that
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This _histogram_ shows the value distribution of a couple of time series. You can easily see that
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most values land between 240-300 with a peak between 260-280.
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most values land between 240-300 with a peak between 260-280.
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Histograms only look at _value distributions_ over a specific time range. The problem with histograms is you cannot see any trends or changes in the distribution over time.
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Here is an example showing height distribution of people.
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This is where heatmaps become useful.
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{{< figure src="/static/img/docs/histogram-panel/histogram-example-v8-0.png" max-width="625px" caption="Bar chart example" >}}
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For more information about histogram visualization options, refer to [Histogram]({{< relref "../panels/visualizations/histogram.md" >}}).
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Histograms only look at _value distributions_ over a specific time range. The problem with histograms is you cannot see any trends or changes in the distribution over time. This is where heatmaps become useful.
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## Heatmaps
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## Heatmaps
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@@ -32,6 +37,8 @@ In this example, you can clearly see what values are more common and how they tr
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For more information about heatmap visualization options, refer to [Heatmap]({{< relref "../panels/visualizations/heatmap.md" >}}).
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## Pre-bucketed data
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## Pre-bucketed data
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There are a number of data sources supporting histogram over time like Elasticsearch (by using a Histogram bucket
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There are a number of data sources supporting histogram over time like Elasticsearch (by using a Histogram bucket
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