  Patterns in temporal data can often be found across different scales, such as
days, weeks, and months, making effective visualization of time-based data
challenging. Here we propose a new approach for providing focus and context in
time-based charts to enable interpretation of patterns across time scales. Our
approach employs a focus zone with a time and a second axis, that can either
represent quantities or categories, as well as a set of adjacent periphery
plots that can aggregate data along the time, value, or both dimensions. We
present a framework for periphery plots and describe two use cases that
demonstrate the utility of our approach.
