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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.
A graphic organizer, also known as a knowledge map, concept map, story map, cognitive organizer, advance organizer, or concept diagram, is a pedagogical tool that uses visual symbols to express knowledge and concepts through relationships between them. [1]
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being addressed.
Visualization or visualisation may refer to: Visualization (graphics), the physical or imagining creation of images, diagrams, or animations to communicate a message; Data and information visualization, the practice of creating visual representations of complex data and information; Music visualization, animated imagery based on a piece of music
[3] [4] Similar pursuits are information visualization, data visualization, statistical graphics, information design, or information architecture. [2] Infographics have evolved in recent years to be for mass communication , and thus are designed with fewer assumptions about the readers' knowledge base than other types of visualizations. [ 5 ]
Visualization of how a car deforms in an asymmetrical crash using finite element analysis. Visualization (or visualisation (see spelling differences)), also known as Graphics Visualization, is any technique for creating images, diagrams, or animations to communicate a message.
Software visualization [1] [2] or software visualisation refers to the visualization of information of and related to software systems—either the architecture of its source code or metrics of their runtime behavior—and their development process by means of static, interactive or animated 2-D or 3-D [3] visual representations of their structure, [4] execution, [5] behavior, [6] and evolution.
Cultural analytics refers to the use of computational, visualization, and big data methods for the exploration of contemporary and historical cultures. While digital humanities research has focused on text data, cultural analytics has a particular focus on massive cultural data sets of visual material – both digitized visual artifacts and contemporary visual and interactive media.