"...data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years..." — Vitaly Friedman
Data visualization is the visual (re)presentation of data where "information is abstracted in some form including the attributes or variables for the units of information". As a subcategory of information visualization DV deals with graphics, geographic and spatial data (e.g., thematic cartography). In a general sense, data visualization refers to any technique where images, diagrams or animations are used to communicate information of varying degrees of complexity. Using visualization to convey complexity is an effective mode of communicating abstract and concrete ideas. Some historical examples are Lescaux cave painting, Egyptian hieroglyphics, Greek geometry and da Vinci's methods of technical drawing.
Data visualization today is used in information science, education, engineering (e.g., product visualization), interactive multimedia, medicine, and so on. A typical data visualization application can be seen in the field of computer graphics which may be the most important development in visualizing information since the invention of central perspective in the Renaissance. The development of animation has also helped to advance the field of data and information visualization. Using data visualization techniques can help you to explore the digital storytelling, learn how colour conveys information our brains recognize before we're fully aware of it, discover how books reveal clues to our deeper selves and find out how researchers investigate unknown phenomena, from initial sketches to published papers using data.
In 2013, it was announced that Wikidata, an offshoot of Wikipedia, and centralized repository for data and facts, now feeds information for Wikipedia.
The Alliance for Networking Visual Culture seeks to enrich the intellectual potential of our fields to inform understandings of an expanding array of visual practices as they are reshaped within digital culture, while also creating scholarly contexts for the use of digital media in film, media and visual studies. By working with humanities centers, scholarly societies, and key library, archive, and university press partners, we are investigating and developing sustainable platforms for publishing interactive and rich media scholarship.
the project will explore data visualization applications in various fields including journalism, science, medicine and public health, law, architecture, planning and political science and use experts from the university
CSAIL looks at the issue of big data as "fundamentally multi-disciplinary"; the MIT team includes faculty and researchers across related technology areas, including algorithms, architecture, data management, machine learning, privacy and security, user interfaces, and visualization; as well as domain experts in finance, medical, smart infrastructure, education and science
Truthy http://truthy.indiana.edu/about is a web-based system to analyze and visualize the diffusion of information on Twitter; the system evaluates thousands of tweets an hour to identify new and emerging meme activity