Yo, I’ve been there! For normalizing data to a 3 sigma model, z-scores are def the way to go. But if you’re worried about skewing, you might wanna try robust scaling. It’s less sensitive to outliers and can give you a more stable result.
Also, if you’re using R, the `scale()` function is super easy to use. Just plug in your data, and it’ll handle the rest. And don’t forget to check your data distribution before and after scaling—visualization is key!
Also, if you’re using R, the `scale()` function is super easy to use. Just plug in your data, and it’ll handle the rest. And don’t forget to check your data distribution before and after scaling—visualization is key!