Anonymize

Anonymize using Column

Summary: Anonymizes and maps a data table's column values, utilizing the Anonymize function and Associative Array creation.

Code:

dt = Open("data_table.jmp");
Column( dt, "name" ) << Set Property(
    "Value Ordering",
    {"ALFRED", "ALICE", "AMY", "BARBARA", "CAROL", "CHRIS", "CLAY", "DANNY", "DAVID", "EDWARD", "ELIZABETH", "FREDERICK", "HENRY", "JACLYN",
    "JAMES", "JANE", "JEFFREY", "JOE", "JOHN", "JUDY", "KATIE", "KIRK", "LAWRENCE", "LESLIE", "LEWIS", "LILLIE", "LINDA", "LOUISE",
    "MARION", "MARK", "MARTHA", "MARY", "MICHAEL", "PATTY", "PHILLIP", "ROBERT", "ROBERT", "SUSAN", "TIM", "WILLIAM"}
);
anonDt = dt << Anonymize();
valProp1 = Column( dt, "name" ) << get property( "Value Ordering" );
valProp2 = Column( anonDt, "X__1" ) << get property( "Value Ordering" );
aa = Associative Array( valProp1, valProp2 );

Code Explanation:

1. Open data table.
2. Set value ordering for names.
3. Anonymize the data table.
4. Retrieve original value ordering.
5. Retrieve anonymized value ordering.
6. Create associative array mapping.

Anonymize using Run Script

Summary: Runs the anonymization and value label retrieval process for a data table, utilizing JSL scripts to set sex and age value labels.

Code:

dt = Open("data_table.jmp");
dt << Run Script( "Set Sex Value Labels" );
dt << Run Script( "Set Age Value Labels" );
anonDt = dt << Anonymize();
val1 = Column( anonDt, 2 ) << Get Value Labels;
val2 = Column( anonDt, 3 ) << Get Value Labels;

Code Explanation:

1. Open data table.
2. Run "Set Sex Value Labels" script.
3. Run "Set Age Value Labels" script.
4. Anonymize the data table.
5. Assign anonymized table to anonDt.
6. Retrieve value labels from second column.
7. Assign retrieved labels to val1.
8. Retrieve value labels from third column.
9. Assign retrieved labels to val2.