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Axiis : Data Visualization Framework

Axiis : Data Visualization Framework
Axiis: Data Visualization Framework! open source data visualization Axiis is an open source data visualization framework designed for beginner and expert developers alike. Whether you are building elegant charts for executive briefings or exploring the boundaries of advanced data visualization research, Axiis has something for you. Axiis provides both pre-built visualization components as well as abstract layout patterns and rendering classes that allow you to create your own unique visualizations. Axiis is built upon the Degrafa graphics framework and Adobe Flex 3.

http://www.axiis.org/

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5 of the Best Free and Open Source Data Mining Software The process of extracting patterns from data is called data mining. It is recognized as an essential tool by modern business since it is able to convert data into business intelligence thus giving an informational edge. At present, it is widely used in profiling practices, like surveillance, marketing, scientific discovery, and fraud detection. There are four kinds of tasks that are normally involve in Data mining: Data visualization tools for Linux A short list of visualization tools In this article, I provide a survey of a number of popular Linux data visualization tools and include some insight into their other capabilities. For example, does the tool provide a language for numerical computation?

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. 30 Places to Find Open Data on the Web Finding an interesting data set and a story it tells can be the most difficult part of producing an infographic or data visualization. Data visualization is the end artifact, but it involves multiple steps – finding reliable data, getting the data in the right format, cleaning it up (an often underestimated step in the amount of time it takes!) and then finding the story you will eventually visualize. Following is a list useful resources for finding data. Your needs will vary from one project to another, but this list is a great place to start — and bookmark.

Declarative Graphics Framework Degrafa: Declarative Graphics Framework Samples Code Data Mining Image: Detail of sliced visualization of thirty video samples of Downfall remixes. See actual visualization below. As part of my post doctoral research for The Department of Information Science and Media Studies at the University of Bergen, Norway, I am using cultural analytics techniques to analyze YouTube video remixes. My research is done in collaboration with the Software Studies Lab at the University of California, San Diego. A big thank you to CRCA at Calit2 for providing a space for daily work during my stays in San Diego. The following is an excerpt from an upcoming paper titled, “Modular Complexity and Remix: The Collapse of Time and Space into Search,” to be published in the peer review journal AnthroVision, Vol 1.1.

The Work of Edward Tufte and Graphics Press Graphics Press LLC P.O. Box 430 Cheshire, CT 06410 800 822-2454 Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. 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.

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