Lowering the Threshold of Visualization Design
2015
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Video Description
Consuming data visualizations has become mainstream, with people and organizations embracing visualizations to record, analyze, and communicate data. However, designing effective visualizations remains difficult, as it requires a cross-cutting set of expertise. For example, designers need storytelling expertise to select visual forms that convey both the semantics and connotations of the data, design expertise to ensure visual and interactive elements are perceptually sound, and technical expertise to implement and publish the resultant visualization. In this talk, Arvind Satyanarayan presents two projects that begin to lower the threshold of custom visualization design by reducing necessary technical expertise. The first project, Lyra, is a new visualization design environment (VDE) that enables direct-manipulation authoring of visualizations. Data is imported and transformed visually, and drag-and-drop operations bind data values to the properties of graphical primitives. As a result, designers can create highly customized visualizations without any programming. Since its alpha release in March 2014, approximately 2,000 users have used Lyra each month and reported it as being an effective prototyping and teaching tool. The second project, Reactive Vega, formulates a grammar of interaction design. Rather than constructing imperative event-handling callbacks, Reactive Vega introduces a set of primitives that can be composed declaratively in order to have input events trigger visual changes. As a result designers need only focus on specifying their interaction technique and leave the library to manage the complexity of propagating events and changes.
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