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A few pix from the traveling hyperwall exhibit. Images provided by Winnie Humberson from NASA's Science Program Support Office. Many of visualizations on the hyperwall were provided by our partners at the Scientific Visualization Studio.
This is a visualization of the HTML tags that make up my site bitdepth.org.
Key to the coloured dots:
blue: for links (the A tag)
red: for tables (TABLE, TR and TD tags)
green: for the DIV tag
violet: for images (the IMG tag)
yellow: for forms (FORM, INPUT, TEXTAREA, SELECT and OPTION tags)
orange: for linebreaks and blockquotes (BR, P, and BLOCKQUOTE tags)
black: the HTML tag, the root node
gray: all other tags
It was created with the nifty bit of code that lets you view websites as graphs made by Sala.
Visualization of an email list. Each picture reprensents one Month. A Sediment is an author, the height
Visualization of an email list. Each picture reprensents one Month. A Sediment is an author, the height represents the length of teh body, each hair is a word. Answers are red lines.
Visualization of an email list. Each picture reprensents one Month. A Sediment is an author, the height represents the length of teh body, each hair is a word. Answers are red lines.
This movie was done as part of a presentation for the Schiphol Group in an effort to show how Cleveland Hopkins Airport might be revitalized into a contemporary, navigable design.
Visualization of every keytweeter tweet since the beginning of the project. The horizontal axis is on the scale of a year, the vertical axis is over each day, starting with midnight at the top and moving on to noon in the middle. Some of this comes from Twitter directly and thus has a fixed timezone, while the most recent data comes from personal logs which compensates for my time zone.
Keytweeter will be complete at the end of this month.
Some of the biggest shifts come from switching time zones temporarily or staying up late working on projects. But you can also see a general downwards trend corresponding either to laziness or perhaps an unusually long circadian rhythm.
The data will be publicly available soon. Please contact me if you're interested in visualizing it.
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...
"T O P O L O G Y" is a meditation of the word visualized in three dimensions in a tangible form. The form is constructed with a Z-Corp CNC prototyping machine and isosurf. "T O P O L O G Y" is the first in a series of 3-D forms created from the orientation of the letters.
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
Elizabeth Currid (University of Southern California, School of Policy, Planning, and Development) and Sarah Williams (Columbia University, GSAPP) took a unique dataset, the Getty Image Database, and transformed it to explain the spatial patterns of cultural industries. By geo-referencing, coding, and performing statistical analysis on 6,000 events and 300,000 photographs taken in New York and Los Angeles, the team has shown that cultural industry events tend to cluster spatially. While the data might illustrate what we already know—that certain “hot spots” in the city exist—investigating them in this way allowed them to gain a better understanding for why clustering occurs in certain localities.
Analysis of the data showed that those actors not conventionally involved in city development (paparazzi, marketers, media) have unintentionally played a significant role in city development. They also argue that the findings on the cultural industries may tell us something important about the geographical form of industrial social clustering more generally. The use of Getty data provides a new spatial dimension through which to understand both cultural industries and city geographical patterns.
To launch this exhibit, Currid and Williams have organized an opening and panel discussion, featuring:
-Erin Aigner, Graphics Editor, New York Times
-Elizabeth Currid, USC School of Policy, Planning and Development
-Harvey Molotch, NYU, Professor of Social and Cultural Analysis, Sociology
-Jamin Brophy Warren, Wall Street Journal
-Sarah Williams, Director, Spatial Information Design Lab, Columbia University GSAPP
iPlant Collaborative members discuss an example shown on the TACC Visualization Wall.
Pictured (left to right): Brandon Theis, Steve Goff
First Hacks/Hackers Meetup held at Atherton Studio at HPR. Great presentations by Ben Trevino, Jared Kuroiwa and Misa Maruyama.
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.
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...
From Isotype Revisited project (http://www.isotyperevisited.org) at the University of Reading. Reproduced with permission.
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.
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.