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CourseWiki - cs448b - Data Visualization
"In this course we will study techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science."
Visual Understanding Environment
The Visual Understanding Environment (VUE) is an Open Source project based at Tufts University. The VUE project is focused on creating flexible tools for managing and integrating digital resources in support of teaching, learning and research. VUE provides a flexible visual environment for structuring, presenting, and sharing digital information.
Video: Designing for Big Data, by Jeffrey Veen
two trends: how we're shifting as a culture from consumers to participants, and how technology has enabled massive amounts of data to be recorded, stored, and analyzed. Putting those things together has resulted in some fascinating innovations that echo data visualization work that's been happening for centuries.
yapgvb - Google Code
YAPGVB provides Python bindings to Graphviz, with an intuitive Python interface.
canviz - Google Code
Canviz is a JavaScript library for drawing Graphviz graphs to a web browser canvas. More technically, Canviz is a JavaScript xdot renderer. It works in most modern browsers.
Using Canviz has advantages for your web application over generating and sending bitmapped images and imagemaps to the browser
Review: Beginning Python Visualization | FlowingData
Not sure if the book would be useful for people already familiar with numpy/scipy. Some parts of scipy are barely documented (e.g. spline interpolation) but that might change soon. "Once I got the packages installed correctly though, it was smooth sailing. Everything is explained clearly, and I'm sure I'll be referring back to it as I use Python more."
The Current State of Social Data | FlowingData
'd like to start a little discussion here on why these data apps haven't gained more popularlity. There always seems be a lot of buzz around launch time, but then it fizzles.
Are people just not interested in interacting with data or do we need to approach the whole social data puzzle from a different angle?
Google Fusion Tables Tour
Google service for upload and visualizing data from "tables" (csv or spreadsheet files)
EasyvizDocumentation - scitools - Easyviz Documentation - Google Code
Easyviz is a unified interface to various packages for scientific visualization and plotting. The Easyviz interface is written in Python with the purpose of making it very easy to visualize data in Python scripts. Both curve plots and more advanced 2D/3D visualization of scalar and vector fields are supported. The Easyviz interface was designed with three ideas in mind: 1) a simple, Matlab-like syntax; 2) a unified interface to lots of visualization engines (called backends later): Gnuplot, Matplotlib, Grace, Veusz, Pmw.Blt.Graph, PyX, Matlab, VTK, VisIt, OpenDX; and 3) a minimalistic interface which offers only basic control of plots: curves, linestyles, legends, title, axis extent and names. More fine-tuning of plots can be done by adding backend-specific commands.
OpenVisuals - Open Source Visualization Framework
Seems like ManyEye, but more "open-source": "OpenVisuals aims to provide an Open Source Visualization Framework, in which the datasets can find their own visualizations, and visualizations already out there can be shared to be used with other datasets."
Timetric: Making data useful
Timetric is a service for storing, searching, graphing and publishing the world's statistical data.
Code: Flickr Developer Blog » The Shape of Alpha
Flickr is creating map shapefiles from geotagged images; they open-sourced the software they use.
CS171
visualization course at Harvard
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