docs: percentile reference
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@@ -16,6 +16,8 @@ groupBy($__range, avg)
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percentile($__range_series, 95) - 95th percentile over all values
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percentile($__range_series, 95) - 95th percentile over all values
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```
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```
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---
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## Transform
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## Transform
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@@ -25,7 +27,7 @@ percentile($__range_series, 95) - 95th percentile over all values
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groupBy(interval, function)
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groupBy(interval, function)
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```
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```
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Takes each timeseries and consolidate its points falled in given _interval_ into one point using _function_, which can be one of: _avg_, _min_, _max_, _median_.
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Takes each timeseries and consolidate its points fallen in the given _interval_ into one point using _function_, which can be one of: _avg_, _min_, _max_, _median_.
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Examples:
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Examples:
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```
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```
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@@ -139,7 +141,7 @@ Replaces `null` values with N
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aggregateBy(interval, function)
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aggregateBy(interval, function)
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```
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```
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Takes all timeseries and consolidate all its points falled in given _interval_ into one point using _function_, which can be one of: _avg_, _min_, _max_, _median_.
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Takes all timeseries and consolidate all its points fallen in the given _interval_ into one point using _function_, which can be one of: _avg_, _min_, _max_, _median_.
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Examples:
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Examples:
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```
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```
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@@ -157,6 +159,20 @@ This will add metrics together and return the sum at each datapoint. This method
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---
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---
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### _percentile_
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```
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percentile(interval, N)
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```
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Takes all timeseries and consolidate all its points fallen in the given _interval_ into one point by Nth percentile.
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Examples:
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```
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percentile(1h, 99)
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percentile($__range_series, 95) - 95th percentile over all values
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```
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---
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### _average_
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### _average_
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```
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```
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average(interval)
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average(interval)
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