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To ensure data quality we want to run a filtering algorithm on certain timeseries that are prone to faulty spikes. Typically we want to replace a datapoint that is more than rollig.avg +/-3rolling std.dev with interpolated values.
as part of this, it would also be useful to track the changes on the actual datapoints. Is there a functionality in CDF for this? Ideally, there could be some metadata attached to the datapoint, describing e.g. the original value, when it was changes, etc.
