Data and information visualization is the practice of designing and creating graphic or visual representations of quantitative and qualitative data and information using static, dynamic or interactive visual items. These visualizations are meant to help a target audience visually explore and discover, quickly understand, interpret and gain insight into structures, relationships, correlations, patterns, trends, variations and clusters within data that would otherwise be difficult to identify; when aimed at the public to convey a concise version of information in an engaging way, the practice is typically called infographics. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/
Facts
Disputed
Origin YearMarks the point often cited for the field's modern computing-graphics emphasis; older data-graphics traditions (such as Minard's 1869 Napoleon diagram) predate the named computing field. Core ConcernDesigning graphic representations of data to help audiences explore, understand and gain insight 1 Connections
Associated With
Data and information visualization is described as emerging in part from graphics research.
Source Data and Information Visualization (Wikipedia)
Data Science, Fields Field-to-field association; both are standard neighbouring areas of computing
Data and information visualization is described as emerging in part from human-computer interaction research.
Source Data and Information Visualization (Wikipedia)
Includes
Source Wikipedia: Ben Shneiderman
Source Bongshin Lee (Wikipedia)
Source Chandrajit Bajaj, Wikipedia
Source Jeffrey Heer (Wikipedia)
Source Katy Borner, Wikipedia
Source Niklas Elmqvist (Wikipedia)
Source Wikipedia: Peter Eades
Source Seok-Hee Hong (Wikipedia)
Source Sheelagh Carpendale - Wikipedia
Sources
1. Data and Information Visualization (Wikipedia)
Wikimedia FoundationLead section
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating graphic or visual representations of quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
History paragraph on the modern study of visualization
The recent emphasis on visualization started in 1987 with the special issue of Computer Graphics on Visualization in Scientific Computing.
View the Source Katy Borner, Wikipedia
Includes: Katy Borner, Lead sectionQuote, Includes: Katy Borner, Lead section
specializing in data analysis and visualization
View the Source Chandrajit Bajaj, Wikipedia
Includes: Chandrajit Bajaj, LeadQuote, Includes: Chandrajit Bajaj, Lead
He is a professor of computer science at the University of Texas at Austin holding the Computational Applied Mathematics Chair in Visualization and is the director of the Computational Visualization Center, in the Institute for Computational Engineering and Sciences (ICES).
View the Source Wikipedia: Peter Eades
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Tollis) of the book Graph drawing: Algorithms for the visualization of graphs, and of the associated survey "Algorithms for drawing graphs: an annotated bibliography".
View the Source Niklas Elmqvist (Wikipedia)
Includes: Niklas Elmqvist, LeadQuote, Includes: Niklas Elmqvist, Lead
He is the Director of the Center for Anytime Anywhere Analytics at Aarhus University, a research center on augmented reality and extended reality (AR/XR) for data visualization.
View the Source Sheelagh Carpendale - Wikipedia
Seok-Hee Hong (Wikipedia)
Bongshin Lee (Wikipedia)
Wikipedia: Ben Shneiderman
Wikimedia FoundationIncludes: Ben Shneiderman, Infobox field and known_for, lead paragraphView the Source Jeffrey Heer (Wikipedia)
Includes: Jeffrey Heer, Infobox field and known_for, lead paragraphView the Source Reader Challenges (0)
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