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Docs: Update intro-histograms.md (#35462)

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docs/sources/basics/intro-histograms.md
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@ -16,13 +16,18 @@ and the bar height represents the frequency (such as count) of values that fell
## Histogram example
This histogram shows the value distribution of a couple of time series. You can easily see that
This _histogram_ shows the value distribution of a couple of time series. You can easily see that
most values land between 240-300 with a peak between 260-280.
![](/static/img/docs/v43/heatmap_histogram.png)
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.
Here is an example showing height distribution of people.
{{< figure src="/static/img/docs/histogram-panel/histogram-example-v8-0.png" max-width="625px" caption="Bar chart example" >}}
For more information about histogram visualization options, refer to [Histogram]({{< relref "../panels/visualizations/histogram.md" >}}).
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.
## Heatmaps
@ -32,6 +37,8 @@ In this example, you can clearly see what values are more common and how they tr
![](/static/img/docs/v43/heatmap_histogram_over_time.png)
For more information about heatmap visualization options, refer to [Heatmap]({{< relref "../panels/visualizations/heatmap.md" >}}).
## Pre-bucketed data
There are a number of data sources supporting histogram over time like Elasticsearch (by using a Histogram bucket