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View full screen. Parallel coordinates is a popular method of visualizing high-dimensional data using dynamic queries. In this example, hundreds of cars can be quickly compared by filtering along any dimension. Click and drag along the red rule for a given dimension to update the filter. Next: Job Voyager Source <html> <head> <title>Parallel Coordinates</title> <link type="text/css" rel="styleshee
View full screen. An intuitive approach to network layout is to model the graph as a physical system: nodes are charged particles that repel each other, and links are dampened springs that pull related nodes together. A physical simulation of these forces then determines node positions; approximation techniques that avoid computing all pairwise forces enable the layout of large numbers of nodes. I
Gallery Enjoy these sample visualizations built with Protovis. For any example, use your browser to view the source or the backing dataset. Protovis is no longer under active development. The final release of Protovis was v3.3.1 (4.7 MB). The Protovis team is now developing a new visualization library, D3.js, with improved support for animation and interaction. D3 builds on many of the concepts in
Protovis 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
Documentation Many graphics libraries exist for drawing shapes and manipulating pixels. These are often easy-to-learn and compatible with “visual thinking”: they provide a direct way to draw curves, polygons, and other visual elements. Yet if used for visualization, these low-level interfaces can be tedious due to the lack of common abstractions, such as scales for color and position. At the other
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