sumif() (aggregation function)
Calculates the sum of Expr in records for which Predicate evaluates to true.
Note
This function is used in conjunction with the summarize operator.
You can also use the sum() function, which sums rows without predicate expression.
Syntax
sumif (Expr,Predicate)
Arguments
| Name | Type | Required | Description |
|---|---|---|---|
| Expr | string | ✓ | Expression that will be used for aggregation calculation. |
| Predicate | string | ✓ | Expression that will be used to filter rows. |
Returns
Returns the sum of Expr for which Predicate evaluates to true.
Example showing the sum of damages based on no casualty count
This example shows the sum total damage for storms without casualties.
StormEvents
| summarize DamageNoCasualties=sumif((DamageCrops+DamageProperty),(DeathsDirect+DeathsIndirect)==0) by State
Results
The results table shown includes only the first 10 rows.
| State | DamageNoCasualties |
|---|---|
| TEXAS | 242638700 |
| KANSAS | 407360000 |
| IOWA | 135353700 |
| ILLINOIS | 120394500 |
| MISSOURI | 1096077450 |
| GEORGIA | 1077448750 |
| MINNESOTA | 230407300 |
| WISCONSIN | 241550000 |
| NEBRASKA | 70356050 |
| NEW YORK | 58054000 |
| ... | ... |
Example showing the sum of birth dates
This example shows the sum of the birth dates for all names that have more than 4 letters.
let T = datatable(name:string, day_of_birth:long)
[
"John", 9,
"Paul", 18,
"George", 25,
"Ringo", 7
];
T
| summarize sumif(day_of_birth, strlen(name) > 4)
Results
| sumif_day_of_birth |
|---|
| 32 |
Feedback
Submit and view feedback for