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Description |
Removes data samples from each input time-series that are larger than a specified threshold value. |
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Input |
Time Series: Multiple (Single or multiple time-series) |
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Parameters |
Threshold |
Mandatory, numeric |
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Output |
Transformed Time Series: Multiple |
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Available in |
Alerts, Composites, Dashboards |
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The RemoveBelowValue function is useful when the underlying data is known to contain data spikes which are irrelevant or invalid, and should be removed.
Usage Example
An Ad-tech company monitors the cost of several advertising campaigns. Occasionally, a bug is introduced in the data collection process, which results in a huge outlier:
This spike, however, does not reflect a valid value, and should be removed. By applying the RemoveAboveValue function (specifying a threshold of 1000) the spike can be removed from the time series, and the normal pattern is clearly evident:
Note: The RemoveBelowValue function can be used when the invalid samples are not spikes, but drops.
