What happens if you apply a unique tool to a dataset with duplicate values?

When applying a unique tool to a dataset with duplicate values, the behavior of the tool is designed to retain only one instance of each unique value. In scenarios where multiple identical values are present, the tool will retain the last instance of each value. This functionality is crucial in data processing as it allows users to obtain a clean dataset containing distinct entries without duplicates.

The unique tool effectively scans through the dataset and, upon encountering duplicated entries, remembers the last occurrence while discarding previous ones. This ensures that the output consists solely of unique entries, contributing to more accurate analysis and reporting of data. It is important for users to understand this behavior, particularly when preparing data for further analyses or modeling, as the retention of only the last instance may significantly impact the results depending on the context of the data.