The InfoVis:Wiki project is intended to provide a community platform and forum integrating recent developments and news on all areas and aspects of Information Visualization.
Using editable–by–anyone Wiki technology turned out to be the only way of keeping the presented information up to date and knowledge exchange vivid.
Q-tools The list below attempts to define a set of “Q-tools” that may be used to generate, sort, classify and perform operations on information. This is not intended to be an exhaustive list, but more of a starting point for discussion. I have also added some alternative names for each Q-tool. PrismA prism is a question that divides information into smaller groups. The purpose of a prism is to break down information into categories or subgroups. An example might be “What are the parts of this system?” Prisms are used extensively in scientific inquiry. They are also used in organization design to map the departments and sub-departments of a company. An example question used in this activity might be “What roles are required to deliver this functionality?” To create a prism, define a question that can be used to divide a unit of information into its constituent parts. Alternative names: Divider, separator, splitter, brancher.
TheBrain provides advanced Mind Mapping Software and Knowledge Management Software that uses visualization and intuitive concept maps to enable intuitive searching, browsing, and organization of information. Disparate data sources are integrated and connected into an associative knowledge network to enable recall, understanding, and communication.
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.
The fact that it is called a “web” suggests that there should be other ways of navigating websites, and there are a number of projects attempting to employ information visualizations and spatial maps to do so.
Exploratory visualization based on multiple coordinated views. Improvise has been used to explore election results, particle trajectories, network loads, music collections, the chemical elements, and even the dynamic coordination structure of its own vis
One way to try to get a handle on what's happening in a scientific field is to study citations in research papers. n a visualization of a complex network with many links, however, it can be very difficult to recognize significant patterns amid the clutter
What makes something “Information Visualization?” Is it just visual titillation? Or is it a tool that interprets, analyzes, and facilitates deeper understanding of data?
What makes something “Information Visualization?” At this point there are probably tens of thousands of programs turning numbers into images and many of them purport to help us understand the data. I believe most of them don’t
Looks at contemporary American culture through austere lens of statistics. Each image portrays a specific quantity of something: fifteen million sheets of office paper (five minutes of paper use); 106,000 aluminum cans (thirty seconds of can consumption)
The range of topics considered in graph drawing includes graph algorithms, graph theory, geometry, topology, visual languages, visual perception, information visualization, computer-human interaction, and graphic design.
Open source graph visualization software. Takes descriptions of graphs in a simple text language, makes diagrams formatted as images, SVG for web, PS for PDF, GXL (XML dialect), and more.
Exemplary sites covered here include: WikiViz, FreeMind, Visualizious, Tree Radial Balloon Layout, Comment Flow, OneWord, Del.icio.us Network Explorer, Bubbl.us, ClusterBall, and data visualization of a social network.
D. Shahaf, J. Yang, C. Suen, J. Jacobs, H. Wang, and J. Leskovec. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1097--1105. New York, NY, USA, ACM, (2013)
D. Shahaf, C. Guestrin, and E. Horvitz. Proceedings of the 21st International Conference on World Wide Web, page 899--908. New York, NY, USA, ACM, (2012)
A. Balali Moghaddam, J. Svendsen, M. Tory, and A. Branzan Albu. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, page 2347--2352. New York, NY, USA, ACM, (2011)