# Exploring outliers and key drivers with ML-powered anomaly detection and contribution analysis
<a name="anomaly-exploring"></a>

You can interactively explore the anomalies (also known as outliers) in your analysis, along with the contributors (key drivers). The analysis is available for you to explore after the ML-powered anomaly detection runs. The changes you make in this screen aren't saved when you go back to the analysis.

To begin, choose **Explore anomalies** in the insight. The following screenshot shows the anomalies screen as it appears when you first open it. In this example, contributors analysis is set up and shows two key drivers.

![\[Anomalies analysis with contributors shown.\]](http://docs.aws.amazon.com/quick/latest/userguide/images/anomaly-exploration-v2.png)


The sections of the screen include the following, from top left to bottom right:
+ **Contributors** displays key drivers. To see this section, you need to have contributors set up in your anomaly configuration. 
+ **Controls** contains settings for anomaly exploration.
+ **Number of anomalies** displays outliers detected over time. You can hide or show this chart section.
+ **Your field names** for category or dimension fields act as titles for charts that show anomalies for each category or dimension. 

The following sections provide detailed information for each aspect of exploring anomalies.

**Topics**
+ [Exploring contributors (key drivers)](exploring-anomalies-key-drivers.md)
+ [Setting controls for anomaly detection](exploring-anomalies-controls.md)
+ [Showing and hiding anomalies by date](exploring-anomalies-by-date.md)
+ [Exploring anomalies per category or dimension](exploring-anomalies-per-category-or-dimension.md)