We present a database system for storing and retrieving abstracted musical information as well as visualizations for interpreting this information. We then apply hierarchical cluster analysis to show statistical phenomena occuring in a corpus of popular songs written by the Beatles. We find that chords and melodic rhythms fall into distinct clusters which distinguish each song, indicating possible principles of composition.