Periphery Plots for Contextualizing Heterogeneous Time-Based Charts
This addresses the problem of interpreting heterogeneous time-based charts for users in data visualization, but it appears incremental as it builds on existing focus+context techniques.
The paper tackled the challenge of visualizing temporal data across multiple scales by proposing a new approach using focus zones and adjacent periphery plots to aggregate data along time, value, or both dimensions, demonstrating its utility through two use cases.
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.