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Preview links (active after the
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| **Note**: This visualization type is useful only when data is aggregated across tag keys, such as for each `host`. | ||
| 1. Make a selection in the "`avg`/`max`/`min`/`sum by`/" control to see your data across the associated tags. | ||
| 1. Choose the data to graph. The Distribution visualization supports metrics, live processes, APM request latency, log events, and RUM events. | ||
| **Note**: This visualization type is useful only when data is aggregated across tag keys, such as for each `host`. |
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I think this sentence might no longer be relevant, it applied only when "histogram of groups" was the only type. The "histogram of points" feature enables this visualization to be useful even in the "I don't have a tag key" case.
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Thank you! Removing
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| The Distribution visualization shows data aggregated across one or several tags, such as *hosts*. Unlike the [heatmap][1], a distribution graph's x-axis is quantity rather than time. | ||
| The Distribution visualization shows data aggregated across one or several tags, such as *hosts*. Unlike the [heat map][1], a distribution graph's x-axis is quantity rather than time. |
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I think heatmap may still be 1 word based on https://docs.datadoghq.com/dashboards/widgets/heatmap/
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You... are so right! Let me ask my team why our Vale rule specifies otherwise. We might just need to update the rule.
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Rule update in progress: DataDog/datadog-vale#87
Thanks for flagging!
| 1. Choose the data to graph.The Distribution visualization supports metrics, live processes, APM request latency, log events, and RUM events. | ||
| **Note**: This visualization type is useful only when data is aggregated across tag keys, such as for each `host`. | ||
| 1. Make a selection in the "`avg`/`max`/`min`/`sum by`/" control to see your data across the associated tags. | ||
| 1. Choose the data to graph. The Distribution visualization supports metrics, live processes, APM request latency, log events, and RUM events. |
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Great callout! I'll update.
joepeeples
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A couple non-blocking edit suggestions, thanks!
| 1. Choose the data to graph.The Distribution visualization supports metrics, live processes, APM request latency, log events, and RUM events. | ||
| **Note**: This visualization type is useful only when data is aggregated across tag keys, such as for each `host`. | ||
| 1. Make a selection in the "`avg`/`max`/`min`/`sum by`/" control to see your data across the associated tags. | ||
| 1. Choose the data to graph. The Distribution visualization supports metrics, live processes, APM request latency, log events, and RUM events. |
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| #### Histogram of points vs. histogram of groups | ||
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| The Distribution widget supports two histogram types: |
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Slightly more future-proof, in case we add more histogram types later:
| The Distribution widget supports two histogram types: | |
| The Distribution widget supports these histogram types: |
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Love it. Added along with other changes locally
| - **Histogram of points**: Each individual datapoint (for example, a raw request latency measurement) contributes to a bucket based on its value. Use this when you want to see the full distribution of measurements across all recordings. | ||
| - **Histogram of groups**: Each group (such as a service or host) is first reduced to a single aggregated value (for example, the p75 latency), and then those aggregated values are distributed across buckets. The resulting shape reflects the spread of per-group summary values, not individual measurements. | ||
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| **Note**: Because these two types aggregate data differently, switching between them can significantly change the shape of the histogram. |
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Convert to <div>-format alert for more visual styling?

What does this PR do? What is the motivation?
Fixes DOCS-13557 and DOCS-13567 (both were small updates so I'm combining them into one PR)
While I was already in these files I fixed a few style issues I noticed (e.g. "data point" -> "datapoint," "timeframe" -> "time frame," etc., per Vale rules).
Merge instructions
Merge readiness:
Additional notes
@hydrosquall, I added you as a reviewer because I sourced some of the info on histogram of points vs. groups from comments of yours in Jira.