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Explore Google Analytics data with JuiceKit visualizations

Explore Google Analytics data with JuiceKit visualizations

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 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. Protovis is no longer under active development.The final release of Protovis was v3.3.1 (4.7 MB). This project was led by Mike Bostock and Jeff Heer of the Stanford Visualization Group, with significant help from Vadim Ogievetsky. Updates June 28, 2011 - Protovis is no longer under active development. September 17, 2010 - Release 3.3 is available on GitHub. May 28, 2010 - ZOMG! Getting Started

Gephi, an open source graph visualization and manipulation software APEXvj - Visualize your favourite tunes online blog » Hexbins! Binning is a general term for grouping a dataset of N values into less than N discrete groups. These groups/bins may be spatial, temporal, or otherwise attribute-based. In this post I’m only talking about spatial (long-lat) and 2-dimensional attribute-based (scatterplot) bins. Such binnings may be thought of as 2D histograms. This may make more or less sense after what lies beneath. If you’re just after that sweet honey that is my code, bear down on my Github repository for this project — hexbin-js. Rectangular binning The simplest 2D bin is rectangular. The above is a shot from a little example I produced on jsFiddle, while learning Mike Bostock’s fantastic D3 JavaScript library for HTML and SVG data-binding and visualization. Binning can be good for both the users and the creators/developers of static or interactive thematic maps or other visualizations. So anyway, binned representations can be beneficial for both users and creators. Hexagonal binning Adler writes, Hex history and theory

About Google+ Ripples - Google+ Help Google+ Ripples creates an interactive graphic of the public shares of any public post or URL on Google+ to show you how it has rippled through the network and help you discover new and interesting people to follow. Ripples shows you: People who have reshared the link will be displayed with their own circle. Inside the circle will be people who have reshared the link from that person (and so on). The comments users added when they reshared a link are displayed in the sidebar of Ripples. At the bottom of the Ripples page, you can play an animated version of the visualization that shows how the link was shared over time. Beneath the timeline on the Ripples page statistics on the link. While Ripples displays a lot of cool information, you’re not actually seeing all the action that’s taken place. To view Ripples for a public post in your stream, just click the dropdown arrow at the top of the post you’re curious about and click View Ripples. Not sure if a post is public?

d3.js ITO - Road Fatalities USA This web site and the information it contains is provided as a public service by ITO World Ltd, using data supplied by the National Highway Traffic Safety Administration (NHTSA), U.S. Department of Transportation (DOT). ITO World Ltd makes no claims, promises or guarantees about the accuracy, completeness, or adequacy of the contents of this web site and expressly disclaims liability for errors and omissions in the contents of this web site. No warranty of any kind, implied, expressed or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose and freedom from computer virus, is given with respect to the contents of this web site or its links to other Internet resources. Users of the service should note that the NHTSA/DOT makes no claims, promises or guarantees about the accuracy, completeness, or adequacy of the road fatality data used within this web site.

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