betodealmeida commented on PR #33559: URL: https://github.com/apache/superset/pull/33559#issuecomment-2902310735
> This is common term in data science that normalizing meaning scaling back to 0 to 1 ... Since the values on screen will still refer to the original values in Tooltip & labels , i thought it would be intuitive to the end clients who can be usually data engineers or data analyst to communicate easily , that hey this control will rescale your values back to scale of 0 to 1 I know it's a common term, but the normalization you're doing is an **implementation detail** to show the metrics denormalized — that is, so their absolute values can be compared. From the **user perspective** you're not normalizing the metrics, you're doing the opposite. Normalizing the metrics from the user perspective would be representing `coffee_price=5` and `house_price=500000000` with similar sizes. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
