

# count


The `count` function calculates the number of values in a dimension or measure, grouped by the chosen dimension or dimensions. For example, `count(product type)` returns the total number of product types grouped by the (optional) chosen dimension, including any duplicates. The `count(sales)` function returns the total number of sales completed grouped by the (optional) chosen dimension, for example salesperson.

## Syntax


```
count(dimension or measure, [group-by level])
```

## Arguments


 *dimension or measure*   
The argument must be a measure or a dimension. 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 calculates the count of sales by a specified dimension in the visual. In this example, the count of sales by month are shown.

```
count({Sales})
```

![\[The count of sales by month.\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/count-function-example.png)


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 count of sales at the Country level, but not across other dimensions (Region or Product) in the visual.

```
count({Sales}, [{Country}])
```

![\[Count of sales are aggregated only at the country level.\]](http://docs.amazonaws.cn/en_us/quick/latest/userguide/images/count-function-example2.png)
