# sum


The `sum` function adds the set of numbers in the specified measure, grouped by the chosen dimension or dimensions. For example, `sum(profit amount)` returns the total profit amount grouped by the (optional) chosen dimension.

## Syntax


```
sum(measure, [group-by level])
```

## Arguments


 *measure*   
The argument must be a measure. Null values are omitted from the results. Literal values don't work. The argument must be a field.

 *group-by level*   
(Optional) Specifies the level to group the aggregation by. The level added can be any dimension or dimensions independent of the dimensions added to the visual.  
The argument must be a dimension field. The group-by level must be enclosed in square brackets `[ ]`. For more information, see [Level-aware calculation - aggregate (LAC-A) functions](https://docs.amazonaws.cn/quicksight/latest/user/level-aware-calculations-aggregate.html).

## Examples


The following example returns the sum of sales.

```
sum({Sales})
```

You can also specify at what level to group the computation using one or more dimensions in the view or in your dataset. This is called a LAC-A function. For more information about LAC-A functions, see [Level-aware calculation - aggregate (LAC-A) functions](https://docs.amazonaws.cn/quicksight/latest/user/level-aware-calculations-aggregate.html). The following example calculates the sum of sales at the Country level, but not across other dimensions (Region and Product) in the visual.

```
sum(Sales, [Country])
```

![\[The sum of sales for each country.\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/sum-function-example.png)