Lines and Bubbles and Bars, Oh My! New Ways to Sift Data
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Data can be organized many ways on Many Eyes. Above is a chart of Olympic medals.
Data can be organized many ways on Many Eyes. Above is a chart of Olympic medals.
The InfoVis:Wiki project is intended to provide a community platform and forum integrating recent developments and news on all areas and aspects of Information Visualization.
Using editable–by–anyone Wiki technology turned out to be the only way of keeping the presented information up to date and knowledge exchange vivid.
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The Internet is going to the aid of New Yorkers who scavenge for discarded furniture: |
Effortless Time TrackingWith no data entry, know exactly what software and sites you’re actively using. |
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NetworkX is a Python package for working with complex networks. Aric Hagberg, one of its authors, has put together an interface between NetworkX and UbiGraph.
NetworkX + UbiGraph from Todd Veldhuizen on Vimeo.
The interface is now included in NetworkX. To see the UbiGraph demos, do this:
$ svn co https://networkx.lanl.gov/svn/networkx/trunk networkx
$ cd networkx
$ python setup.py install
$ cd doc/examples/ubigraph
$ python atlas.py
Installing the Graphviz I will need for pygraphviz was less trivial:
I found ryandesign's collection of Mac graphviz builds
and the faq explains how to get graphviz on your path (I had to modify tcshrc as per the instructions)
(For other purposes on the mac, you can't beat Glenn Low's graphviz GUI )
Ryandesign's faq even explains how to update the version of graphviz in the GUI package (which I haven't done).
I installed Xcode tools so I could compile pygraphviz....
And that allowed networkX's pygraphviz to install (python setup.py install)
Promising! I see that there will be a talk on networkX at SciPy next week
(This is one of many wonders --including numerous perpetual motion machines at...