$10$ Marks

Consider the dataset below. Using k$-$anonymization and the two techniques discussed in class $($generalization and suppression$),$ create an anonymized dataset with $k=2$ and the Quasi Identifier $($Qu$)$ of Postal Code, Age, and Sex. That is$,$ names should be removed and income should not be modified. The remaining three variables should be sufficiently modified so that anonymity is preserved for $k=2.$

$\backslash$table$[[$Name$,$Postal Code,Age Sex,$\backslash$table$[[$Income$],[($In$],[$$$,000$