• Beautiful Generative Computer Art – Metamorphosis

    September 23, 2008  |  Data Art

    Glenn Marshall has released his finished version of Metamorphosis, a beautiful piece of computer generative art programmed in Processing. I wish I knew a bit more about what I was seeing, but I can only guess that the branches and butterflies follow certain laws of nature and rules defined by the music (I hope). Nevertheless, it's beautiful. Here's the video below, but go to Vimeo to watch the video in all it's HD glory.
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  • Art of Mathematics – Visualization of Dynamical Systems

    September 18, 2008  |  Data Art

    Dynamical systems are mathematical models used to describe the time-dependent position of a point's position in ambient space. For example, a dynamical system could be used to describe the movement of a swinging pendulum. The way the pendulum moves is based on the laws of physics, but trajectory, velocity, acceleration, etc changes over time. Over at the University of Liverpool is a series of visualizations by mathematicians around the world that shows such dynamical systems.

    Lasse Rempe, a mathematician, describes the beauty of these visualization in this video on the BBC. Many more beautiful pieces in the video and explanation of the underlying structures.

  • Fleshmap: Studies of Desire – Touch, Look, and Listen

    August 21, 2008  |  Data Art

    Fleshmap is a new project by Martin Wattenberg and Fernanda Viégas that explores human desire from three points of view - touch, look, and listen.
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  • Physical Graphs as Critique on American Culture

    August 20, 2008  |  Data Art

    These wooden graphs by Joshua Callaghan show uh, something on the left and military spending on the right. While I wouldn't call them any type of spectacular representation of data, I do like the idea of placing data into a physical space. We always get our graphs on a computer screen or on paper at best, which can take the human out of the data. It's easy to forget that a single data point can represent an entire human life (or death). Keep that in mind the next time you analyze a dataset.

    [via designboom | Thanks, Guðmundur]

  • Many Eyes Adds Wordle to its Extensive Visualization Toolbox

    August 13, 2008  |  Data Art, Online Applications

    I'm sure you've seen Wordle by now, which puts an artistic spin on the traditional tag cloud. An application by Jonathan Feinberg, Wordle lets you put any text or RSS/atom feed in as input and get a cloud of words sized by frequency and arranged every which way. Above is a Wordle cloud of the current FlowingData feed.

    Many Eyes recently added Feinberg's visualization to their slew of other visualization tools.

    Wordle marks a departure from the more analytical visualizations on Many Eyes. Why bring a self-described “toy” to a site for social data analysis? People have reported finding value beyond entertainment in creating these word clouds. Teachers have used Wordles in classrooms as conversation catalysts; others have created them to express their identities, and scholars have used them to visualize the output of statistical explorations of texts.

    No doubt Many Eyes, with Martin Wattenberg and Fernanda Viégas (who know a thing or two about design) at the helm, recognizes that data visualization isn't always about analytics and exactness. Sometimes visualization is just about getting people to think.

  • What Kind of Information is Hidden in Barcodes?

    July 29, 2008  |  Data Art

    Barcodes. We all know what they look like. They're the black stripes that vary in thickness with numbers that indicate something or another, but what is that something? Every product has a unique barcode number and when you pass it through an international key database, you get information about the product and the country of origin. Daniel Becker uses this data to create art in Barcode Plantage.

    Once a bar code is keyed or scanned in, the program sends a request to the database, which returns a master file data. This master file data is then analysed to define positions, curves and colours of Bezier curves of the tree structure.

    The number of these curves will vary correspondence to the number of figures in the code. Simultaneously, the user will hear a melody, which is based on the figures of the bar code.

    Because every barcode is unique so is the resulting tree. Pretty.

    [via swissmiss]

  • Martin Wattenberg On Visualizing Large Textual Data

    July 21, 2008  |  Data Art, Quotes

    Martin Wattenberg, one of the creators of Many Eyes, in reply to "Why is a numbers guy like you so interested in large textual data sets?"

    The entire literary canon may be smaller than what comes out of particle accelerators or models of the human brain, but the meaning coded into words can't be measured in bytes. It's deeply compressed. Twelve words from Voltaire can hold a lifetime of experience.

    Martin Wattenberg = smart guy.

  • Radiohead Music Video by Capturing and Rendering 3D Data

    July 15, 2008  |  Data Art

    Radiohead's most recent music video, House of Cards, was made entirely without cameras. Instead the setup involved a rotating scanner, lasers, and lots of 3D data. The music video is all of that 3D data rendered.

    No cameras or lights were used. Instead two technologies were used to capture 3D images: Geometric Informatics and Velodyne LIDAR. Geometric Informatics scanning systems produce structured light to capture 3D images at close proximity, while a Velodyne Lidar system that uses multiple lasers is used to capture large environments such as landscapes. In this video, 64 lasers rotating and shooting in a 360 degree radius 900 times per minute produced all the exterior scenes.

    Check out the "making of" video for a better explanation that I can provide. I like the part when they talk about distorting the data on purpose because, uh, well that's something we usually try not to do.

    Here's the final result. There are some really beautiful scenes where the "camera" pans a landscape and it sorta blows away in a billowy wind like a house of cards.

    [Thanks, Jason]

  • Hacking the Coffee Maker – Caffeine Viewer

    June 30, 2008  |  Data Art, Self-surveillance

    The colmeia group recently installed their Caffeine Viewer project where they hacked their coffee maker to log their "insane coffee consumption" in real-time. Every time a person presses a button on the coffee maker data are logged, but there's a slight twist - the data are available to everyone via the caffeinated API. That's some serious self-surveillance. There are also a few visualizations, but mainly, they invite others to create their own.
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  • An Experiment in Organic Software Visualization

    June 19, 2008  |  Data Art

    This organic visualization, code_swarm by Michael Ogawa from UC Davis, has been making the rounds on the Web lately, and rightfully so. The data: history of commits to a software project. However, instead of focusing on the actual code, the spotlight is on the relationships between developers and their code.

    Watch as developers commit code to the repository, the types of files they commit, and watch the life-like organism grow. Below is a video demo of code_swarm that shows the development of the Eclipse IDE:

    The way code swarms, flashing and zooming towards its developer, provides a very human aspect to something that can often feel cold, mechanical, and lifeless. Just one of the many reasons why I love data visualization.

    [Thanks, Simon]

  • Personal Visualization for the Obsessive Compulsive

    June 11, 2008  |  Data Art

    Ash Spurr, in a project to try to understand Obsessive Compulsive Disorder, took inventory of and categorized every distinguishable object in his bedroom - books, DVDs, CDs, documents, storage bins... It's a simple idea yet really interesting. OCD - yet another example for you to take part and enjoy our summer project. What does your room look like in data?

    [Thanks, Tim]

  • Watch TED Talks in Sphere Form – TEDSphere

    June 2, 2008  |  Data Art

    The Bestiario design group seems to have been busy lately. Their latest project, TEDSphere, unsurprisingly, places the ever-so-popular TED talks series in a spherical space. You can watch TED talks from both inside and outside of the sphere, which is pretty cool.

    inside tedsphere

    Talks are connected with lines to show relationships between lectures. Originally, I thought relationships were talks with similar tags, but I clicked around, and that doesn't seem to be case, so I'm not immediately sure.

    Similar Look and Feel

    TEDSphere has a similar look and feel to Bestiario's previous works with the 3D browsing and connections, which is nice and often provides smooth browsing experience. Although I wish the 3D environment could be rendered a bit more smoothly. Edges and connecting lines always look so coarse. It's probably a limitation of the Flash environment, but if that could be accomplished, these 3D projects could look that much better and feel less alpha.

  • Flickr Tags and Pictures as a Universe – Tag Galaxy

    May 29, 2008  |  Data Art

    Steven Wood's thesis project, Tag Galaxy is a beautiful piece of work to visualize Flickr tags and pictures. Type whatever tag you want, and the results are organized with your tag as the sun and related tags as orbiting planets. Rotate and browse the galaxy to view pictures with the corresponding tag. Above was the result that I got after inputting "visualization".
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  • Love, Hate, Think, Believe, Feel and Wish on Twitter

    April 30, 2008  |  Data Art

    Inspired by Jonathan Harris and Sep Kamvar's We Feel Fine, and using data from summize, twistori shows what people love, hate, think, believe, feel, and wish for on Twitter. Given the conversational feel of Twitter, twistori shows an almost natural flow of emotion and like Twittervision, is sort of mesmerizing.

    [via Twitter]

  • Personal Transactions as a Network Graph Over Time

    April 8, 2008  |  Data Art

    Transactions Graph, by Burak Arikan, is a piece placing personal transactions in network graph. Each node represents a transaction while connections (or edges) shows a relationship between transactions based on time and spending category. The thicker the edge the greater the total of the two connected transactions. Viewers are also able to scroll through time to watch how transactions evolve.
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  • Regularities and Patterns Within a Literary Space

    April 7, 2008  |  Data Art

    Stefanie Posavec, maps literary works at the Sheffield Galleries On the Map exhibit. There are several parts to Stefanie's piece mapping sentence length, writing style, and structure. From the looks of things, it looks like the parsing process was manual and involved a lot of highlighting and circling of things. I could be wrong though. For some reason, long and manual labor makes me appreciate things more.
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  • A Little Bit of Design Goes a Long Way With Infographics

    March 27, 2008  |  Data Art, Design

    If I've learned anything about designing information graphics, it's that attention to detail and small changes make a mediocre graphic into a really useful and usually more attractive one. It's what sets New York Times graphics apart from those in other publications and especially those in academic papers. Something like a short annotation can add context or a line shifted slightly to the left can make data look less cluttered.
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  • Interact With the Atlas of Electromagnetic Space

    March 16, 2008  |  Data Art

    Jose Luis Vicente and Irma Vilà, in collaboration with Bestiario, have created an interactive installation in Flash that allows you to explore the radio spectrum - the electromagnetic space covering signals from radio and television to GPS, bluetooth, and mobile phones. The piece represents a database of projects and services (in the the radio spectrum) developed over the past decade.
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  • A World of Information in Data-driven Art – Not Your Grandma’s Dashboard

    March 12, 2008  |  Data Art

    Wired Magazine recently did a feature on data-driven art.

    The above image is Jason Salavon's work that shows U.S. population by county. The technically-minded readers might be thinking, "I don't get it. What am I seeing here? I don't even know what county has the greatest population." I understand where you're coming from, but hey, it's art not a status update.
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  • 4 Data Visualizations That Inspired Me to Learn More

    March 11, 2008  |  Data Art

    I've dabbled quite a bit throughout my academic career. I started in computer science, then electrical engineering, and then statistics. I also considered a future in business, environmental science, civil engineering, and urban planning, but I've finally settled on a combination of statistics and design -- data visualization.

    Here are the 4 visualizations that got me interested and left me wanting more.
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