AVG_IF (window)

Function AVG_IF is also found in the following categories: Aggregate functions.

Syntax

AVG_IF( expression, condition
        TOTAL | WITHIN ... | AMONG ...
      )

More info:

AVG_IF( expression, condition
        TOTAL | WITHIN ... | AMONG ...
        [ BEFORE FILTER BY ... ]
      )

More info:

Description

Returns the average of all values that meet the condition condition. If the values don't exist, it returns NULL. Applicable to numeric data types only.

Argument types:

  • expression — Fractional number | Integer
  • condition — Boolean

Return type: Same type as (expression)

Example

Source data

Date City Category Orders Profit
'2019-03-01' 'London' 'Office Supplies' 8 120.80
'2019-03-04' 'London' 'Office Supplies' 2 100.00
'2019-03-05' 'London' 'Furniture' 1 750.00
'2019-03-02' 'Moscow' 'Furniture' 2 1250.50
'2019-03-03' 'Moscow' 'Office Supplies' 4 85.00
'2019-03-01' 'San Francisco' 'Office Supplies' 23 723.00
'2019-03-01' 'San Francisco' 'Furniture' 1 1000.00
'2019-03-03' 'San Francisco' 'Furniture' 4 4000.00
'2019-03-02' 'Detroit' 'Furniture' 5 3700.00
'2019-03-04' 'Detroit' 'Office Supplies' 25 1200.00
'2019-03-04' 'Detroit' 'Furniture' 2 3500.00

Grouped by [Date], [Category].

Sorted by [Date], [Category].

Formulas:

  • Date: [Date] ;
  • Category: [Category] ;
  • Profit: SUM([Profit]) ;
  • AVG_IF TOTAL: AVG_IF(SUM([Profit]), [Category] = 'Furniture' TOTAL) ;
  • AVG_IF WITHIN: AVG_IF(SUM([Profit]), [Category] = 'Furniture' WITHIN [Date]) ;
  • AVG_IF AMONG: AVG_IF(SUM([Profit]), [Category] = 'Furniture' AMONG [Date]) .

Result

Date Category Profit AVG_IF TOTAL AVG_IF WITHIN AVG_IF AMONG
'2019-03-01' 'Furniture' 1000.00 2840.10 1000.00 2840.10
'2019-03-01' 'Office Supplies' 843.80 2840.10 1000.00 NULL
'2019-03-02' 'Furniture' 4950.50 2840.10 4950.50 2840.10
'2019-03-03' 'Furniture' 4000.00 2840.10 4000.00 2840.10
'2019-03-03' 'Office Supplies' 85.00 2840.10 4000.00 NULL
'2019-03-04' 'Furniture' 3500.00 2840.10 3500.00 2840.10
'2019-03-04' 'Office Supplies' 1300.00 2840.10 3500.00 NULL
'2019-03-05' 'Furniture' 750.00 2840.10 750.00 2840.10

Data source support

ClickHouse 21.8, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3.

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