Datenunterdrückung
Datenunterdrückung, also known as data suppression or data masking, is a technique used to obscure or remove sensitive information from datasets. This is typically done to protect privacy or to comply with data protection regulations. The goal is to make the data unusable for identifying individuals or revealing confidential details while still retaining its analytical value.
There are several methods of data suppression. One common approach is to replace sensitive values with generic
Data suppression is crucial in various fields, including healthcare, finance, and market research, where the handling