Here is how I would solve the problem. The only issue with this code, is the determination of what columns to process. Assuming that Date and Process Date are JMP Date columns, they are continuous columns and therefore have to be deleted from the processing.
Names Default To Here( 1 );
dt = Current Data Table();
cols = dt << get column names( string, continuous );
Remove From( cols, 1, 1 );
Remove From( cols, N Items( cols ), 1 );
dtTemp = dt << subset( selected rows( 0 ), columns( cols ) );
dtTemp[0, 0] = dtTemp[0, 0] * 4;
For Each( {name}, cols,
Column( dtTemp, name ) << set name( (Column( dtTemp, name ) << get name) || "/100" )
);
dt << Update( With( dtTemp ) );
Close( dtTemp, nosave );
Jim