
Description	Returns zero when the value of each sample in the time-series input is not zero. Returns the previous value +1 for each consecutive sample in the time-series input which is zero.
Input	Time Series: Multiple (Single or multiple time-series)
Parameters	None
Output	Transformed Time Series: Multiple
Available in	Alerts, Composites, Dashboards

Example


Input	5	6	7	0	0	0	5	5	0
CountZeros	0	0	0	1	2	3	0	0	1

Usage Example

Use this composite function when you want to be alerted on anomalous periods without transactions, represented as data gaps.

For certain types of metrics - especially those measuring volumes of transactions (e.g., orders, add to carts, etc), it often happens that at a granular level, the volume of transactions can be very low for a given timescale (e.g., 1-5 orders per hour), and there are many periods of no transactions at all (i.e., 0 transactions).

Learning the baseline of such metrics to detect anomalous drops to 0 is challenging because the metric is often at 0, and the baseline learns it as a normal value.