Hi, I am working on a project were I have weights of products shipped. I am trying to identify extreme outliers by product that do not fit into the normal distribution for that products actual weight.
This has 2 purposes; investigate why they are outliers to identify issues and to remove for average weight calculation by product for further downstream needs.
Can someone point me in the right direction/method I should consider so I can setup a marco to process each product to identify outliers so I can remove them? Are there R functions or exsisting alterxy workflows that can easily accomplish?
Thanks,
Anthony
