Alchemer Dashboard is currently waitlist only. Visit this page to learn more about Dashboard or join the waitlist!
Customize Anomaly Detection
You can change the color of anomaly detection bounds, and the highlight color of detected anomalies. To customize the appearance of the anomaly detection feature, follow these steps:
1. Open a saved KPI chart, or create a new KPI from the Search data page.
2. Select the chart configuration icon from the sidebar to the right of your KPI. Note that anomaly detection will only appear for KPI charts with sparkline visualizations.
3. By default, Show anomalies and Show anomaly bounds are selected. You can choose to hide anomaly bounds, and you will still see anomalies highlighted.
4. You can edit the Anomaly highlight color and Anomaly bounds color to make them stand out against your sparkline visualization. Choose a new color by selecting it from the color palette, or by entering a hexadecimal code in the color picker. The chart automatically updates to display your changes.
Limitations
The anomaly detection feature needs at least five data points to analyze in order to function. Data sets with less than five data points will not display anomalies.
In order to provide good anomaly detection, you need to provide at least two cycles of a required seasonality. For example, if you are visualizing data at monthly granularity, to capture yearly seasonality the system needs at least the past 24 months of data.
