In-home and wearable health sensors generate an enormous amount of data that can be difficult to manage. Visualization is one of the first steps towards creating a unified understanding of all available data collected from a user. The quantity and variety of data sources makes it challenging to visualize all of the different heterogeneous data types in a concise and comprehensive way. This is particularly important for retrospective longitudinal studies using existing datasets. Furthermore, different users may have unique objectives that require customized visualization interfaces to provide relevant information in the most appropriate format. This project proposes to address these visualization challenges for large temporal health-monitoring datasets.