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Hello, I am trying to add multiple timeseries using timeseries synthetic query. Despite each time series spanning 12 months, they share a 4-month overlap in terms of dates. This synthetic query calculates the sum for the dates that overlap. I'm wondering if there's a method to calculate the sum of these time series for all dates (including those not present in all series), essentially uniting rather than just considering the overlapping dates. Is this feasible?
Planned for development
Synthetic timeseries
Unfortunately, we currently do not have a way of ignoring time series without data points, whether it is before the first point or after the last point.
I know some users have made a workaround, by adding a “dummy” data point in 1971/1900, and another data point in 2050/2099, which would then provide interpolated values for the missing dates
https://developer.cognite.com/dev/concepts/resource_types/synthetic_timeseries.html#interpolation
There are some differences between step and non-step series in how interpolation works, for non-step, you may want to add another dummy data point right before the first data point
Hello, yes this was helpful, thank you! I was wondering if an enhancement request for this already exists and if not, could you please create one?
I’ll put the request on our backlog. We have data quality, multi-variate and a new high-volume events service prioritised right now, so it may be a while before we can handle it, but it’s a good suggestion.
Kind Regards, Glen
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