||Overlay a gray band on the metric showing the expected behavior of a series based on past.||
anomalies() function has two parameters:
ALGORITHM: Methodology used to detect anomalies.
BOUNDS: Width of the gray band.
boundscan be interpreted as the standard deviations for your algorithm; a value of 2 or 3 should be large enough to include most “normal” points.
Here’s a two-minute video walkthrough:
See the Anomaly Monitor page for more info.
||Highlight outliers series.||
outliers() function has three parameters:
ALGORITHM: The outliers algorithm to use.
TOLERANCE: The tolerance of the outliers algorithm.
PERCENTAGE: The percentage of outlying points required to mark a series as an outlier (available only for MAD and scaledMAD algorithms)
See the Outlier Monitor page for more info.
Consult the other available functions: