quantilesInterpolatedWeighted

Introduced in: v23.1.0 Computes multiple quantiles of a numeric data sequence using linear interpolation at different levels simultaneously, taking into account the weight of each element. This function is equivalent to quantileInterpolatedWeighted but allows computing multiple quantile levels in a single pass, which is more efficient than calling individual quantile functions. Syntax

quantilesInterpolatedWeighted(level1, level2, ...)(expr, weight)

Parameters

level — Levels of quantiles. One or more constant floating-point numbers from 0 to 1. We recommend using level values in the range of [0.01, 0.99]. Float*

Arguments

expr — Expression over the column values resulting in numeric data types, Date, DateTime or DateTime64. (U)Int* or Int128 or UInt128 or Int256 or UInt256 or Float* or Decimal* or Date or DateTime or DateTime64
weight — Column with weights of sequence members. Weight is a number of value occurrences. UInt*

Returned value Array of quantiles of the specified levels in the same order as the levels were specified. For numeric data types the output format matches the input format. Array((U)Int*) or Array(Int128) or Array(UInt128) or Array(Int256) or Array(UInt256) or Array(Float*) or Array(Decimal*) or Array(Date) or Array(DateTime) or Array(DateTime64) Examples Computing multiple interpolated weighted quantiles

Query

SELECT quantilesInterpolatedWeighted(0.25, 0.5, 0.75)(number, 1) FROM numbers(10)

Response

┌─quantilesInterpolatedWeighted(0.25, 0.5, 0.75)(number, 1)─┐
│ [2,4,7]                                                   │
└───────────────────────────────────────────────────────────┘

​quantilesInterpolatedWeighted

quantilesInterpolatedWeighted