COUNT_IF (window)
Written by
Updated at June 18, 2024
Function COUNT_IF is also found in the following categories: Aggregate functions.
Syntax
Standard
Extended
COUNT_IF( expression, condition
TOTAL | WITHIN ... | AMONG ...
[ BEFORE FILTER BY ... ]
)
More info:
Description
Returns the number of items in the specified window meeting the expression condition.
Argument types:
expression—Fractional number | Integercondition—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]); - COUNT_IF TOTAL:
COUNT_IF(SUM([Profit]), [Category] = 'Furniture' TOTAL); - COUNT_IF WITHIN:
COUNT_IF(SUM([Profit]), [Category] = 'Furniture' WITHIN [Date]); - COUNT_IF AMONG:
COUNT_IF(SUM([Profit]), [Category] = 'Furniture' AMONG [Date]).
Result
| Date | Category | Profit | COUNT_IF TOTAL | COUNT_IF WITHIN | COUNT_IF AMONG |
|---|---|---|---|---|---|
'2019-03-01' |
'Furniture' |
1000.00 |
5.00 |
1.00 |
5.00 |
'2019-03-01' |
'Office Supplies' |
843.80 |
5.00 |
1.00 |
0.00 |
'2019-03-02' |
'Furniture' |
4950.50 |
5.00 |
1.00 |
5.00 |
'2019-03-03' |
'Furniture' |
4000.00 |
5.00 |
1.00 |
5.00 |
'2019-03-03' |
'Office Supplies' |
85.00 |
5.00 |
1.00 |
0.00 |
'2019-03-04' |
'Furniture' |
3500.00 |
5.00 |
1.00 |
5.00 |
'2019-03-04' |
'Office Supplies' |
1300.00 |
5.00 |
1.00 |
0.00 |
'2019-03-05' |
'Furniture' |
750.00 |
5.00 |
1.00 |
5.00 |
Data source support
ClickHouse 21.8, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3.