How to remove data noise through averaging adjacent elements in a data set.
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I am trying to remove noise from my data that includes outliers which are skewing the final result. I'm wondering how I can average two adjacent elements sequentially for a whole data set in order to incorporate outliers more effectively and generate a more streamlined data set. For example, [a b c d e f g ...] it would look like (a+b)/2 and (c+d)/2 and (e+f)/2 ....and so on. I figured I should use a for loop but unsure what that would look like.