The NASA blog has posted a video, turning the above data-capture graph of ‘a gamma-ray burst, the most energetic explosions in the universe’ (above) into a piece of music:
What does the universe look like at high energies? Thanks to the Fermi Large Area Telescope (LAT), we can extend our sense of sight to “see” the universe in gamma rays. But humans not only have a sense of sight, we also have a sense of sound. If we could listen to the high-energy universe, what would we hear? What does the universe sound like?
… In translating the gamma-ray measurements into musical notes we assigned the photons to be “played” by different instruments (harp, cello, or piano) based on the probabilities that they came from the burst. This particular conversion is a fairly simple one; We built this on work done by other members of the LAT team (Luca Baldini and Alex Drlica-Wagner) who explored converting our data into music in different ways.
In the beginning of the song, before the burst starts, the harp plucks out a few lonely notes. After about half a minute, the piano joins in on top of the harp background, and the notes begin to pile on more and more rapidly. The cello enters the scene as the burst begins in earnest.
A few weeks back bitly posted some interesting data that hints when people use different social networks. Today’s stupid idea for not playing Minecraft all day involved creating a CSS3 time display webpage that overlays current time over the graphs published by bitly.
Tumblr is apparently the party network for evenings and weekends so cheers to you guys!
Specifically designed for decimal numbers whose boldness corresponds with it’s value, for use in data visualization:
The FatFonts technique is based on a new type of numeric typeface designed for visualization purposes that bridge the gap between numeric and visual representations. FatFonts are based on Arabic numerals but, unlike regular numeric typefaces, the amount of ink (dark pixels) used for each digit is proportional to its quantitative value. This enables accurate reading of the numerical data while preserving an overall visual context.
Fatfonts are designed so that the amount of dark pixels in a numeral character is proportional to the number it represents … This proportionality of ink is the main property of FatFonts. It allows us to create images of data where you can read the numbers, and represent tables that can be read as images.
Frame sheets of the directors films put together by Benjamin Wimmer:
With The Grandmasters finally having a release date (2012/12/18) I thought it would be nice to do a recap of Wong Kar-wai’s feature films. As IMHO his movies are primary made for being experienced rather than discussed/analysed, I thought I’d go for visual summaries:
Below, his movies compressed to single pictures (ever 60th frame was used) showing nicely the movies’ pace as well their overall colour schemes. Enjoy.
As Tears Go By
Days Of Being Wild
In The Mood For Love
There are more of these frame sheets, which can be found here.
UPDATE: Benjamin has upload a ZIP file containing hires versions of the collection, available here
Data visualization project exploring the body and desire:
We asked hundreds of people how much they like being caressed on various parts of their body, and how exciting it is to touch different places on their lovers. Their answers, a total of 33,871 ratings covering 707 points on male and female bodies, provide a collective portrait of desire. In Skin to Skin, compare men and women, touching and being touched. In Sorting out Desire, explore an atlas of excitement.
To produce a collective portrait of desire, we polled hundreds of people’s opinions about parts of the body. To do so, we teamed up with Dolores Labs to crowdsource the data gathering step through Amazon’s Mechanical Turk site—a marketplace where paid workers perform simple tasks. This means that we set up an open call to anyone on the Mechanical Turk site who was interested in answering questions about desire and the human body.
Everywhere I’ve Been: Data Portraits Powered by 3.5 years of data and 2.5 million GPS Points
Data visualizations by Aaron Parecki capturing years of collected GPS information:
These are images of map generated entirely from GPS logs gathered by various versions of the Geoloqi sample application for iPhone and Android for the past 3.5 years. Once gathered, the data was run through a custom script that projects the GPS logs onto a 2D image plane. There is a little bit of logic to smooth out the lines and remove some (but not all) GPS noise.
Approximately one GPS point was recorded every 2-6 seconds when I was moving, and these images represent about 2.5 million total GPS points. Collectively, they represent a data portrait of my life: everywhere I’ve been and the places I’ve been most frequently. The map is colored by year, so you can see how my footprint changes over the years, depending on where I live.
How could one show the entire history of cases while preserving the spatial and the temporal? This presentation renders the individual cases three dimensionally as spheres on the plane of the city map and animates them in time. Spheres are sized according to the amount of correspondance the case has and colored by case type. The design highlights the continuous transformation of the city, areas of intense development and the sheer workload of the planning authority.
Created with WebGL and three.js - you can try it out here [Chrome Only]
This project represents nearly 100 hours of playing two videogames as high resolution visualizations. This representation allows us to study the interplay of various elements of gameplay, and the relationship between the travel through game spaces and the passage of time in game play.
You can read more about the project and how it was put together here, plus more images on their Flickr profile here