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      A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools

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      Computers & Graphics
      Elsevier BV

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          Is Open Access

          MIMIC-III, a freely accessible critical care database

          MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework.
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            KNIME - the Konstanz information miner

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              Vega-Lite: A Grammar of Interactive Graphics.

              We present Vega-Lite, a high-level grammar that enables rapid specification of interactive data visualizations. Vega-Lite combines a traditional grammar of graphics, providing visual encoding rules and a composition algebra for layered and multi-view displays, with a novel grammar of interaction. Users specify interactive semantics by composing selections. In Vega-Lite, a selection is an abstraction that defines input event processing, points of interest, and a predicate function for inclusion testing. Selections parameterize visual encodings by serving as input data, defining scale extents, or by driving conditional logic. The Vega-Lite compiler automatically synthesizes requisite data flow and event handling logic, which users can override for further customization. In contrast to existing reactive specifications, Vega-Lite selections decompose an interaction design into concise, enumerable semantic units. We evaluate Vega-Lite through a range of examples, demonstrating succinct specification of both customized interaction methods and common techniques such as panning, zooming, and linked selection.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Computers & Graphics
                Computers & Graphics
                Elsevier BV
                00978493
                August 2022
                August 2022
                : 106
                : 152-160
                Article
                10.1016/j.cag.2022.05.023
                730d21a0-3a6b-4f2b-9132-48e5e7723440
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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