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Note that this program is new research, and will not work on all machines. It has been tested to run on a machine of the following description: 600 Mhz Pentium III or faster, or a recent Mac 1024 x 768 pixel screen or higher resolution, 16 bit color Windows NT, Windows 2000, Windows XP operating systems, or Mac OS X 256 Mb of RAM A fast internet connection No other memory-intensive programs running Microsoft Internet Explorer (5 or later) Netscape (6.2 or later) TextArc will often stop working the second time it is run in the same browser session. This is caused by the browser remembering parts of the program after it should have exited. Read Alice's Adventures in Wonderland
51 Tools - Looking 4 data visualization Chart selection 1. ChartChooser from Juice Analytics2. Charts suggestions from Andrew Abela3.
Google Fusion Tables Demo
Originally published by Matt Wynn on poynter.org on 19 September 2011. This excerpt is republished with permission. For years, it’s been only the most committed of journo-nerds who could invest both the time and money to put geography to use. Introduction to open-source GIS tools for journalists
Degrafa: Declarative Graphics Framework Samples Code Docs Declarative Graphics Framework
Implementation criteria The graphics generated were intended for high-quality reproduction in the book. Since we wanted them to consist primarily of typography and colored areas, we selected a vector- rather than a pixel-based format. In addition, as an output file, the format was to be written by means of an algorithm to ensure a fully automated process. This made it essential to work with an ”open” format that had a well-known internal syntax and could be easily processed by book layout programs [ad.03]. Graphical visualization of text similarities in essays in a book | munterbund.de
Wikipedia Concept Extractor | Free Development software downloads at SourceForge ★ Add a Review 2 Downloads (This Week) Last Update: Download conceptextract-src.zip Browse All Files Extract a Term Concept Map from Wikipedia.
One of my areas of interest that has grown over the last couple years has been data visualization. I’m a visually-oriented learner, and I look forward to seeing any techniques, illustrations, or technologies that: 1) Allow people to assimilate information as fast as possible. 2) Deepen understanding of knowledge by visually illustrating data in new and interesting ways. There is nothing like having an intellectual epiphony after looking at a picture for a few seconds (pictures can definitely be worth a thousand words). 3) Present information in an aesthetically pleasing way. Dataesthetics: The Power and Beauty of Data Visualization