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</html><description>Description: Partial anonymization is a data protection method that involves the removal or alteration of some personal identifiers in a dataset, while other identifiers remain intact. This approach allows data to be used for analysis and studies without fully compromising the identity of the individuals involved. Unlike total anonymization, where all identifying data is removed, [&hellip;]</description></oembed>
