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[DOCS] Adds documentation for data comparison view (#164297)

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## Summary

Related PR: https://github.com/elastic/kibana/pull/161365
Related issue: https://github.com/elastic/platform-docs-team/issues/153

This PR drafts documentation for the new data comparison feature under
the Data Visualizer in Kibana.
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István Zoltán Szabó 2023-08-24 16:13:38 +02:00 • committed by GitHub
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@ -31,6 +31,34 @@ privileges to use {ml-features}. Refer to
NOTE: There are limitations in {ml-features} that affect {kib}. For more
information, refer to {ml-docs}/ml-limitations.html[{ml-cap}].
[discrete]
[[data-comparison-view]]
== Data comparison
preview::[]
You can find the data comparison view in **{ml-app}** > *{data-viz}* in {kib}.
The data comparison view shows you the differences in each field for two
different time ranges in a given {data-source}. The view helps you to visualize
the changes in your data over time and enables you to understand its behavior
better.
[role="screenshot"]
image::user/ml/images/ml-data-comparison.png[Data comparison view for {kib} Sample Data Flights ]
Select a {data-source} that you want to analyze, then select a time range for
the reference and the comparison data in the appearing histogram chart. You can
adjust the time range for both the reference and the comparison data by moving
the respective brushes. When you finished setting the time ranges, click
*Run analysis*.
You can decide whether you want to see all the fields in the {data-source} or
only the ones that contains drifted data. The analysis results table displays
the fields, their types, if drift is detected, the p-value that indicates how
significant the detected change is, the reference and comparison distribution,
and the comparison chart. You can expand the results for a particular field by
clicking the arrow icon at the beginning of the field's row.
--
[[xpack-ml-anomalies]]
@ -123,11 +151,11 @@ advanced statistical methods to help you interpret your data and its behavior.
preview::[]
Log rate analysis is a feature that uses advanced statistical methods to
identify reasons for increases or decreases in log rates. It makes it easy to find and
investigate causes of unusual spikes or drops by using the analysis workflow view.
Examine the histogram chart of the log rates for a given {data-source}, and find
the reason behind a particular change possibly in millions of log events across
multiple fields and values.
identify reasons for increases or decreases in log rates. It makes it easy to
find and investigate causes of unusual spikes or drops by using the analysis
workflow view. Examine the histogram chart of the log rates for a given
{data-source}, and find the reason behind a particular change possibly in
millions of log events across multiple fields and values.
You can find log rate analysis under **{ml-app}** > **AIOps Labs** where
you can select the {data-source} or saved search that you want to analyze.