👉 Uncaked in a technical sense refers to a method of data cleaning or preprocessing where all non-numeric characters are removed from a dataset. This is typically done for removing outliers, missing values, and other types of errors that can skew the results of statistical analysis. It's also used in machine learning models to ensure that features remain meaningful and informative.
