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* Refactor metric aggregation section Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Update _query-dsl/aggregations/metric/matrix-stats.md Co-authored-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> * Update _query-dsl/aggregations/metric/extended-stats.md Co-authored-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> --------- Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Naarcha-AWS <97990722+Naarcha-AWS@users.noreply.github.com>
53 lines
1.1 KiB
Markdown
53 lines
1.1 KiB
Markdown
---
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layout: default
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title: Percentile
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parent: Metric aggregations
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grand_parent: Aggregations
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nav_order: 90
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---
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# Percentile aggregations
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Percentile is the percentage of the data that's at or below a certain threshold value.
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The `percentile` metric is a multi-value metric aggregation that lets you find outliers in your data or figure out the distribution of your data.
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Like the `cardinality` metric, the `percentile` metric is also approximate.
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The following example calculates the percentile in relation to the `taxful_total_price` field:
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```json
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GET opensearch_dashboards_sample_data_ecommerce/_search
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{
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"size": 0,
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"aggs": {
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"percentile_taxful_total_price": {
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"percentiles": {
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"field": "taxful_total_price"
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}
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}
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}
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}
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```
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{% include copy-curl.html %}
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#### Example response
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```json
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...
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"aggregations" : {
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"percentile_taxful_total_price" : {
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"values" : {
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"1.0" : 21.984375,
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"5.0" : 27.984375,
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"25.0" : 44.96875,
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"50.0" : 64.22061688311689,
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"75.0" : 93.0,
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"95.0" : 156.0,
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"99.0" : 222.0
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}
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}
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}
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}
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```
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