We use a statistical method called Empirical Orthogonal Function (EOF) analysis to analyze complex data, focusing on its strengths and limitations. This method is widely used in climate research, but its use in atmospheric chemistry is relatively new.  While EOF analysis can be powerful, it may not be suitable for datasets that do not follow specific statistical assumptions. Our research provides recommendations to improve how we use this technique in analyzing atmospheric chemistry data.