One of the problems surrounding data normalization is that of redundancy.  Or rather, it is a problem that rationalization,
when done well, can eliminate.  For example, if there is a table that contains a certain piece of information several times,
then that is an indicator that a separate table can be made where that information is stored only once.
Then it can be cross-referenced, rather than repeated multiple times and wasting space. The larger the table the more space that
gets wasted, and the greater an impact rationalization can have.  Having multiple data sets in a table causes redundancy, and
can reduce speed.  Ultimately, a single table should only have one set of data related to the primary key.