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Using rolling average for data cleaning / remove outliers

Using rolling average for data cleaning / remove outliers

Price: FREE

I have a set of data which has daily and seasonal cycle and expands over ten years. I need to remove erroneous values using the rolling average of 5 pints at a time +/- 3 standard deviations. I might end up using more points for the rolling average (maximum of 24 values which represent the whole day) till I get something that just eliminates the wrong values. Also the +/- 3 standard deviations might be replaced by +/- 2 standard deviations as it suites my work.
Essentially I want to remove outliers based on a rolling average principle (averaging the whole sample would dampen the cycles I have)....
Ideally, the method should show me the points it identifies as outliers before just deleting them.

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