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I mainly uploaded these to submit to the 'Backgrounds App' group for use for cell phone backgrounds on android devices.
if they aren't accepted, I'll be deleting them.
xox
iPlant Collaborative members discuss an example shown on the TACC Visualization Wall.
Pictured (left to right): Brandon Theis, Steve Goff
Genera un mapa de profundidad con cierta exactitud acerca de tus amigos de Last.fm y tu relación con ellos.
La posición indica similaridad musical. Altura la similaridad de gustos musicales con miembros de la misma altura.
Mi mapa fue creado con un 63% de precisión y la verdad bastante bien.
Generador: qed-portal.com/en/last_fm/tool/
I mainly uploaded these to submit to the 'Backgrounds App' group for use for cell phone backgrounds on android devices.
if they aren't accepted, I'll be deleting them.
xox
You might be familiar with Buza's amazing twitter visualizations from a few months ago. He recently invited me to test a system he has been putting together to let anyone generate the same kind of images based on their own web data.
The system works as follows: First, the user crawls the web and prepares some data ahead of time (images, graph structures, etc). Using a python script, the user feeds the data to an OpenGL context that is running an instance of the Bullet physics engine. Live interaction with the visualized data can happen there in a manner similar to E15,. When a desired view is produced or found, the system can generate a Sunflow scene file, that can be later used to render an image similar to the one featured here.
I haven't done much, just grabbed some data I harvested a while ago from openstudio and the tiny icon factory, and threw it in there to see how it looks. I hope to help Buza tweak some bugs and reach some design decisions while experimenting with Sunflow and rendering some coolness in the process.
Interactive Visualizations in the immersive fulldome environment
360° Fulldome.Laboratory at the University of Applied Sciences Potsdam;
FOTO:
Yvonne Dickopf | www.dickopf.org
a map of all the tags in my delicious listing. you can make your own here: meeech.github.com/delicious.html
Group members from the breakout group on Visualization at Queen's University (venue of MSR Vision 2020).
Julia Kaganskiy (@juliaxgulia) organizes Arts, Culture and Technology meetups in NYC. This event on 27th April 2010 was on Data Mining & Visualization: www.meetup.com/Arts-Culture-and-Technology/calendar/13144...
Essentially, to assemble something with a lining, you have to think of the object as if it is being assembled through a black hole: Everything inside out, and upside down, and backwards.
Then you sew it all together, turn it right side out, and hope you didn't screw up.
I read about this beautiful visualization site on this blog to which I was referred by @billives. The blog post describes it as "a tag based visualization using planetary constellations to playfully browse Flickr images with little related tags orbiting the center of the tag galaxy."
Check it out for yourself and see your tags in motion!
This close up shot of the statue's face taken at this angle makes it feel extremely close to the viewer and gives the depth factor that makes it seem further away from the ground then it actually is.
From Isotype Revisited project (http://www.isotyperevisited.org) at the University of Reading. Reproduced with permission.
If you don't want your dashboards to be just another piece of art with little information, read on to learn about the data gurus' 7 data visualisation best practises. Dashboards have become ingrained in our daily routines. Data scientists are always trying to come up with new ways to make numerical and quantitative data more interesting and understandable. Unfortunately, a substantial number of images stand out as poor instances of data visualisation.
Julia Kaganskiy (@juliaxgulia) organizes Arts, Culture and Technology meetups in NYC. This event on 27th April 2010 was on Data Mining & Visualization: www.meetup.com/Arts-Culture-and-Technology/calendar/13144...
Interactive Visualizations in the immersive fulldome environment
360° Fulldome.Laboratory at the University of Applied Sciences Potsdam;
FOTO:
Yvonne Dickopf | www.dickopf.org
www.visualcomplexity.com/vc/project_details.cfm?id=528&am...
Aviz is a multidisciplinary project of INRIA Futurs aiming at improving the analysis and visualization of large and complex datasets by combining analysis methods with interactive visualizations. The Aviz group has been involved in a variety of visualizations projects, among them is this large co-authorship network of scientific collaboration at the LRI lab from 2000 to 2004. The topleft connected component includes members of the projects InSitu and Aviz. This image was created with the InfoVis toolkit and the GEM graph layout algorithm.