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Interactive Visual Analysis is an iterative process. Discoveries made after brushing of the data and looking at the linked views can be used as a starting point for repeating the process, leading to a form of information drill-down. As an example, consider the analysis of data from a simulation of a combustion engine.
In 2012, one of the main visual analytics experts, Ben Shneiderman, is co-authored in a paper mentioning guided analytics among the “interactive dynamics for visual analysis”. [2] A good quote from J. Heer and B. Schneirderman paper is “visual-analysis systems can incorporate guided analytics to lead analysts through workflows for common ...
Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." [2] It can attack certain problems whose size, complexity, and need for closely coupled human and machine analysis may make them otherwise intractable. [3]
Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
[citation needed] Dynamic forms of visualization, such as educational animation or timelines, have the potential to enhance learning about systems that change over time. Apart from the distinction between interactive visualizations and animation, the most useful categorization is probably between abstract and model-based scientific visualizations.
Visual interface 2022 Uses compartmental theory to model dynamic systems. Typically used in life science problems like substance/nutrient kinetics and effects or epidemiology. se-lib Free, MIT License Python 2023 Open source Systems Engineering Library (se-lib) provides system dynamics and discrete event simulation. Silico Dynamic simulation ...
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