It's not this simple...

Let's take your low cardinality example...  Gender is a good example since
there are only two (common) genders - male and female.

A table with 10,000 staff would make the gender column low cardinaility -
only 2 distinct values.  If you had 5,000 males and 5,000 females then the
data would be evenly distributed and therefore not skewed.  If, however,
you had 9,500 females and 500 males then you have skewed data.

Hopefully this gives some idea of the difference between cardinality and
skewed data.



                                                                                       
                                               
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Gogala,

If cardinality is high, then data is evenly distributed.

If cardinality is low, then data is not evenly distributed and
hence skewed.

Is my understanding correct...atleast to some extent ?!




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