With the recent development of wearable and comfortable biosensors, larger
datasets of physiological data are being collected in challenging real-life
scenarios. In order to gain insight from these datasets, behavioral
scientists need tools that enable agile and efficient data exploration. In
this work, we designed and implemented two visualization tools for
large-scale time-based datasets, and combined the lessons learned to create a
more general-purpose tool.