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renaming functions
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@ -1,9 +1,9 @@
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---
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slug: /en/sql-reference/aggregate-functions/reference/quantileGK
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slug: /en/sql-reference/aggregate-functions/reference/quantileApprox
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sidebar_position: 204
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---
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# quantileGK
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# quantileApprox
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Computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence using the [Greenwald-Khanna](http://infolab.stanford.edu/~datar/courses/cs361a/papers/quantiles.pdf) algorithm.
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@ -11,10 +11,10 @@ Computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric dat
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**Syntax**
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``` sql
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quantileGK(accuracy, level)(expr)
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quantileApprox(accuracy, level)(expr)
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```
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Alias: `medianGK`.
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Alias: `medianApprox`.
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**Arguments**
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@ -40,12 +40,12 @@ Type:
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``` sql
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WITH arrayJoin([0, 6, 7, 9, 10]) AS x
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SELECT quantileGK(100, 0.5)(x)
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SELECT quantileApprox(100, 0.5)(x)
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┌─quantileGK(100, 0.5)(x)─┐
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│ 7 │
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└─────────────────────────┘
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┌─quantileApprox(100, 0.5)(x)─┐
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│ 7 │
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└──────────────----───────────┘
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```
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@ -115,14 +115,14 @@ Result:
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└─────────────────────────────────────────────────────────────────────┘
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```
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## quantilesGK
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## quantilesApprox
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Exactly computes the [quantiles](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence using the [Greenwald-Khanna](https://dl.acm.org/doi/10.1145/375663.375670) algorithm.
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**Syntax**
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``` sql
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quantilesGK(accuracy, level1, level2, ...)(expr)
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quantilesApprox(accuracy, level1, level2, ...)(expr)
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```
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**Arguments**
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@ -152,9 +152,9 @@ Query:
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``` sql
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WITH arrayJoin([0, 6, 7, 9, 10]) AS x
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SELECT quantilesGK(100, 0.1, 0.2, 0.3)(x)
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SELECT quantilesApprox(100, 0.1, 0.2, 0.3)(x)
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┌─quantilesGK(100, 0.1, 0.2, 0.3)(x)─┐
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│ [0,0,6] │
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└────────────────────────────────────┘
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┌─quantilesApprox(100, 0.1, 0.2, 0.3)(x)─┐
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│ [0,0,6] │
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└────────────────────────────────────────┘
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```
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