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Update aggregation reference docs for 7.13 (#101913)

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* Update aggregation reference docs for 7.13

* Add more reference about filtered metrics
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Wylie Conlon 2021-06-10 13:42:55 -04:00 committed by GitHub
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18
docs/user/dashboard/aggregation-reference.asciidoc
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@ -188,6 +188,12 @@ For information about {es} metrics aggregations, refer to {ref}/search-aggregati
| Type | Agg-based | Markdown | Lens | TSVB
| Metrics with filters
|
^| X
|
|
| Average
^| X
^| X
@ -221,7 +227,7 @@ For information about {es} metrics aggregations, refer to {ref}/search-aggregati
| Percentiles
^| X
^| X
|
^| X
^| X
| Percentiles Rank
@ -230,10 +236,10 @@ For information about {es} metrics aggregations, refer to {ref}/search-aggregati
|
^| X
| Top hit
| Top hit (Last value)
^| X
^| X
^| X
|
^| X
| Value count
@ -266,7 +272,7 @@ For information about {es} pipeline aggregations, refer to {ref}/search-aggregat
| Derivative
^| X
^| X
|
^| X
^| X
| Max bucket
@ -290,13 +296,13 @@ For information about {es} pipeline aggregations, refer to {ref}/search-aggregat
| Moving average
^| X
^| X
|
^| X
^| X
| Cumulative sum
^| X
^| X
|
^| X
^| X
| Bucket script

14
docs/user/dashboard/lens.asciidoc
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@ -147,14 +147,24 @@ For the answers to common *Lens* questions, review the following.
[float]
[[kql-]]
===== When should I use the Filter function instead of KQL filters?
===== When should I use the top filter bar, filters function, or "Filter by"?
The easiest way to apply KQL filters is to use <<semi-structured-search>>, but you can also use the *Filters* function in the following scenarios:
Using the top <<semi-structured-search>> bar is best when you want to focus on a known set of
data for all the visualization results. These top level filters are combined with other filters
using AND logic.
Use the *Filters* function in the following scenarios:
* When you want to apply more than one KQL filter to the visualization.
* When you want to apply the KQL filter to a single layer, which allows you to visualize filtered and unfiltered data.
Use the *Filter by* advanced option in the following scenarios:
* When you want to assign a custom color to each filter in a bar, line or area chart.
* When you want to build a complex table, such as showing both failure rate and overall.
[float]
[[when-should-i-normalize-the-data-by-unit-or-use-a-custom-interval]]
===== When should I normalize the data by unit or use a custom interval?