Is there a straightforward way to compute a moving average or more sophisticated smoothing of data in an array of objects within observable? I’m thinking of a js equivalent of the pandas operation
mvavg = df['feature'].rolling(window=7).mean()
Is there a straightforward way to compute a moving average or more sophisticated smoothing of data in an array of objects within observable? I’m thinking of a js equivalent of the pandas operation
mvavg = df['feature'].rolling(window=7).mean()
I guess this is what Mike does:
I bet it’s good.
I saw that, I guess I need to get in the right mindset and just import it.
For a different type of smoothing (Gaussian kernel):