  Manually investigating sheet music collections is challenging for music
analysts due to the magnitude and complexity of underlying features,
structures, and contextual information. However, applying sophisticated
algorithmic methods would require advanced technical expertise that analysts do
not necessarily have. Bridging this gap, we contribute CorpusVis, an
interactive visual workspace, enabling scalable and multi-faceted analysis. Our
proposed visual analytics dashboard provides access to computational methods,
generating varying perspectives on the same data. The proposed application uses
metadata including composers, type, epoch, and low-level features, such as
pitch, melody, and rhythm. To evaluate our approach, we conducted a pair
analytics study with nine participants. The qualitative results show that
CorpusVis supports users in performing exploratory and confirmatory analysis,
leading them to new insights and findings. In addition, based on three
exemplary workflows, we demonstrate how to apply our approach to different
tasks, such as exploring musical features or comparing composers.
