Research Guides: Data Visualization: index

Glossary of Visualization Types

Visualizations can be categorized by what they visualize, how they visualize, and the audience to which they visualize. Occasionally these categories go hand-in-hand.

Scientific Visualizations - include specific diagrams of scientific data, and often represent processes with spatial componenets; often are created for a highly knowledgeable and specialized audience.

Information Visualizations - are general representations of information, including statistical charts and graphs usually representing tabular datasets; these visualizations are often seen in scholarly publications

Infographics - a genre of visualization aimed at engaging a non-specialist audience with specific content through a combination of highly effective design principles, creative choices, and interesting information content.

For more information, see Zoss, Angela. Introduction to Data Visualization. Duke University Libraries LibGudes.

Information Design

Interesting Visualization Resources

Lies, damn lies, and visualizations
on O'Reilly Radar | by Andrew Odewahn | @@odewahn | August 9, 2010
The intersection -- and accompanying questions -- of data science and journalism.
Data Visualization: Clarity vs. Aesthetics
on dataremixed.com | by Ben Jones | May 28, 2012

Visual Analytics

Visualizations can be static, dynamic, or interactive; often, dynamic or interactive visualizations can be used as analysis tools to reveal new information about data.

Expanding the Frontiers of Visual Analytics and Visualization by Rae A. Earnshaw (Editor); John Dill (Editor); David Kasik (Editor); John A. Vince (Editor); Pak Chung Wong (Editor)
ISBN: 9781447128038
Publication Date: 2012-04-18
Visual analytics and visualization bring together the areas of computer science, information visualization, cognitive and perceptual sciences, interactive design, graphic design, and social sciences. The fields seek to facilitate analytical reasoning supported by interactive visual interfaces in order to enable the human to tune into key parts of the data, helping to overcome the data deluge problem.Expanding the Frontiers of Visual Analytics and Visualization contains international contributions by leading researchers from within the field. It is dedicated to the memory of Jim Thomas, and written by those who were – and still are – inspired by his energy, enthusiasm, and vision. The book opens with the dynamics of evolving a vision based on some of the principles that Jim and colleagues established. This is followed by chapters in the areas of visual analytics, visualization, interaction, modelling, architecture, and virtual reality, before concluding with the key area of technology transfer to industry.

Data Visualization: index

What is DataViz?

Glossary of Visualization Types

Information Design

Interesting Visualization Resources

Visual Analytics

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