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EagerEyes is Robert Kosara's place to reflect on the world of information visualization and visual communication of data. The goal is to help digest things that are happening in the field and discuss developments that may be tangential or early, but that are likely to have an impact. The original idea for the site involved the interplay of art and science in visualization. While the focus has shifted, questions of representation are touched upon regularly. In fact, I believe that visualization can be vastly improved by a better understanding issues of representation and reading of data. Other topics of interest include visualization for the masses, open data, and where the field of visualization is heading. Criticism of visualization techniques and applications, websites, and books is also a regular feature. Discussions of visualization techniques provide insights into the thinking behind them. During conferences (VisWeek, in particular), the site is also used for live micro-blogging.

Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)! Although programming experience is helpful, Protovis is mostly declarative and designed to be learned by example. This project is led by Mike Bostock and Jeff Heer of the Stanford Visualization Group, with significant help from Vadim Ogievetsky. We welcome your contributions and suggestions. protovis-3.2.zip (881 KB)

UUorld (pronounced "world") provides an immersive mapping environment, high-quality data, and critical analysis tools. Great explanations are unfortunately scarce, but UUorld makes them easier to achieve through interactive four-dimensional maps. Our solution has three simple parts: Draw on extensive, organized data. Explore and grasp complex patterns through intuitive visual analytics. Deliver new insight with compelling images and video. We think you'll find four-dimensional mapping delivers results because the medium exposes the spatial and temporal context inherent to nearly all data.

The Google Chart API lets you dynamically generate charts with a URL string. You can embed these charts on your web page, or download the image for local or offline use.