Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization Netvibes Interactive Dynamics for Visual Analysis Graphics Jeffrey Heer, Stanford University Ben Shneiderman, University of Maryland, College Park The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. Visualization provides a powerful means of making sense of data. The goal of this article is to assist designers, researchers, professional analysts, procurement officers, educators, and students in evaluating and creating visual analysis tools. Our focus on interactive elements presumes a basic familiarity with visualization design. Within each branch of the taxonomy presented here, we describe example systems that exhibit useful interaction techniques. To enable analysts to explore large data sets involving varied data types (e.g., multivariate, geospatial, textual, temporal, networked), flexible visual analysis tools must provide appropriate controls for specifying the data and views of interest. 1. 2. 3.
Fast Thinking and Slow Thinking Visualisation Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. These tend to be much simpler in appearance, such as my map of the distance that London Underground trains travel during rush hour. The explicit message of this map is that surprisingly large distances are covered across the network and that the Central Line rolling stock travels furthest. or the seemingly impenetrable (from a distance at least), but wonderfully intricate hand drawn work of Steven Walter (click image for interactive version). So do the renowned folks at the NY Times Graphics Dept. prefer fast or slow thinking visualisations?
Stat eXplorer Interactive Statistical Visualization using Adobe Flash Statistics eXplorer integrates many common InfoVis and GeoVis methods required to make sense of statistical data, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge. Statistics eXplorer was developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The eXplorer applications are available on the NCVA/LiU web site for educational and research usage only. Figure: Statistics eXplorer applications involve the integration of important visualization and analytics taxonomy required to make sense of statistical data – to pursue questions using several famous GeoVis and InfoVis methods, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge. Learn more about eXplorer through these 2 videos: Read Paper about:
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