# outlier
<a name="CWL_QuerySyntax-Outlier"></a>

Use the `outlier` command to detect statistical outliers in numeric fields based on the interquartile range (IQR). You can remove or clamp outlier rows.

**Syntax**  


```
| outlier [action=remove|transform] [param={{n}}] [uselower=true|false] [mark=true|false] {{field}} [{{field}} ...]
```

The command uses the following arguments:
+ `action` (Optional) – Either `remove` (drops outlier rows) or `transform` (clamps to boundary). Default: `transform`.
+ `param` (Optional) – The IQR multiplier. Default: `2.5`.
+ `uselower` (Optional) – Whether to detect lower-bound outliers. Default: `false`.
+ `mark` (Optional) – Whether to add a boolean marker field. Default: `false`.
+ `{{field}}` – One or more numeric fields to check for outliers.

**Example**  
The following query removes rows where cpu or memory are outliers, using a 3.0 IQR multiplier with lower-bound detection and marking.

```
fields @timestamp, cpu, memory
| outlier action=remove param=3.0 uselower=true mark=true cpu memory
```