RANK_PERCENTILE (window)
Syntax
Standard
Extended
RANK_PERCENTILE( value [ , direction ] )
RANK_PERCENTILE( value [ , direction ]
[ TOTAL | WITHIN ... | AMONG ... ]
[ BEFORE FILTER BY ... ]
)
More info:
Description
Returns the relative rank (from 0 to 1) of the current row if ordered by the given argument. Calculated as (RANK(...) - 1) / (row count) .
If direction is "desc" or omitted, then ranking is done from greatest to least, if "asc", then from least to greatest.
See also RANK, RANK_DENSE, RANK_UNIQUE.
Argument types:
value—Boolean | Date | Datetime | Fractional number | Integer | String | UUIDdirection—String
Return type: Fractional number
Note
Only constant values are accepted for the arguments (direction).
Examples
Example with two arguments
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 [City].
Sorted by [City].
Formulas:
- City:
[City]; - Order Sum:
SUM([Orders]); - RANK_PERCENTILE desc:
RANK_PERCENTILE(SUM([Orders]), "desc"); - RANK_PERCENTILE asc:
RANK_PERCENTILE(SUM([Orders]), "asc").
Result
| City | Order Sum | RANK_PERCENTILE desc | RANK_PERCENTILE asc |
|---|---|---|---|
'Detroit' |
32 |
0.00 |
1.00 |
'London' |
11 |
0.67 |
0.33 |
'Moscow' |
6 |
1.00 |
0.00 |
'San Francisco' |
28 |
0.33 |
0.67 |
Example with grouping
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 [City], [Category].
Sorted by [City], [Category].
Formulas:
- City:
[City]; - Category:
[Category]; - Order Sum:
SUM([Orders]); - RANK_PERCENTILE TOTAL:
RANK_PERCENTILE(SUM([Orders]) TOTAL); - RANK_PERCENTILE WITHIN:
RANK_PERCENTILE(SUM([Orders]) WITHIN [City]); - RANK_PERCENTILE AMONG:
RANK_PERCENTILE(SUM([Orders]) AMONG [City]).
Result
| City | Category | Order Sum | RANK_PERCENTILE TOTAL | RANK_PERCENTILE WITHIN | RANK_PERCENTILE AMONG |
|---|---|---|---|---|---|
'Detroit' |
'Furniture' |
7 |
0.43 |
1.00 |
0.00 |
'Detroit' |
'Office Supplies' |
25 |
0.00 |
0.00 |
0.00 |
'London' |
'Furniture' |
1 |
1.00 |
1.00 |
1.00 |
'London' |
'Office Supplies' |
10 |
0.29 |
0.00 |
0.67 |
'Moscow' |
'Furniture' |
2 |
0.86 |
1.00 |
0.67 |
'Moscow' |
'Office Supplies' |
4 |
0.71 |
0.00 |
1.00 |
'San Francisco' |
'Furniture' |
5 |
0.57 |
1.00 |
0.33 |
'San Francisco' |
'Office Supplies' |
23 |
0.14 |
0.00 |
0.33 |
Data source support
ClickHouse 21.8, Files, Google Sheets, Microsoft SQL Server 2017 (14.0), MySQL 5.7, Oracle Database 12c (12.1), PostgreSQL 9.3, Yandex Documents.