Periphery Plots for Contextualizing Heterogeneous Time-Based Charts

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.Comment: To Appear in IEEE VIS 2019 Short Papers. Open source software and other materials available on github: https://github.com/PrecisionVISSTA/PeripheryPlots Video figure available on Vimeo: https://vimeo.com/34967814

Predictors and Moderators of Quality of Life Among College Students With ADHD

Objective: The current study examines (a) whether ADHD among college students is associated with differences in perceptions of quality of life (QoL); (b) the moderating roles of comorbidity, drug use, psychopharmacological treatment, and psychosocial treatment; and (c) the total impact of these variables on QoL. Method: Participants were college students with and without ADHD (N = 372) in a longitudinal study. Results: College students with ADHD were more likely to assert negative global QoL evaluations relative to non-ADHD peers. The relationship between ADHD and QoL was not altered as a function of medication treatment, comorbid psychopathology, psychosocial treatment, or drug use. Conclusion: College students with ADHD behave similarly to other adults with ADHD in that they make lower subjective global evaluations of their QoL relative to their non-ADHD agemates. Other factors associated with ADHD and QoL do not appear to moderate this relationship

anywidget

anywidget is a Python library that simplifies the creation and maintenance of Jupyter Widgets, making them more accessible for computational scientists. By leveraging ECMAScript modules (ESM), it addresses complex widget packaging issues, enhancing the utility and interoperability of custom widgets across different environments.If you use this software, please cite it using the metadata from this file

anywidget

anywidget is a Python library that simplifies the creation and maintenance of Jupyter Widgets, making them more accessible for computational scientists. By leveraging ECMAScript modules (ESM), it addresses complex widget packaging issues, enhancing the utility and interoperability of custom widgets across different environments.If you use this software, please cite it using the metadata from this file

anywidget

anywidget is a Python library that simplifies the creation and maintenance of Jupyter Widgets, making them more accessible for computational scientists. By leveraging ECMAScript modules (ESM), it addresses complex widget packaging issues, enhancing the utility and interoperability of custom widgets across different environments.If you use this software, please cite it using the metadata from this file

anywidget

anywidget is a Python library that simplifies the creation and maintenance of Jupyter Widgets, making them more accessible for computational scientists. By leveraging ECMAScript modules (ESM), it addresses complex widget packaging issues, enhancing the utility and interoperability of custom widgets across different environments.If you use this software, please cite it using the metadata from this file

anywidget

anywidget is a Python library that simplifies the creation and maintenance of Jupyter Widgets, making them more accessible for computational scientists. By leveraging ECMAScript modules (ESM), it addresses complex widget packaging issues, enhancing the utility and interoperability of custom widgets across different environments.If you use this software, please cite it using the metadata from this file

anywidget

anywidget is a Python library that simplifies the creation and maintenance of Jupyter Widgets, making them more accessible for computational scientists. By leveraging ECMAScript modules (ESM), it addresses complex widget packaging issues, enhancing the utility and interoperability of custom widgets across different environments.If you use this software, please cite it using the metadata from this file