Category:

  • Sensors in Footballs – Was the Pass Good?

    Posted Dec 30, 2008 to Statistics / Add your comment

    Graduate student researchers are pretty much putting sensors in everything these days. There's always more data to collect and more information to gather. Computer engineering students from Carnegie Mellon University experiment with sensors in footballs and gloves to measure grip, trajectory, speed and position.

    "You'd never want to replace the human referees because they make these calls based on years of experience, and no technology can replace that," she said. "But in addition to the instant replay, if you had a supplementary system that said this is exactly where the ball landed and where the player stopped with it, you could make these kinds of calls accurately."

    So far, she and her squad of undergraduate and graduate students have focused on two things: gloves with touch sensors that can transmit that information wirelessly to a computer, and a football equipped with a global positioning receiver and accelerometer that can track the location, speed and trajectory of the ball.

    Eventually, the same kind of sensors used in the gloves could be adapted to shoes, to measure stride and running patterns, or even shoulder pads, to calculate blocking positions and force.

    Yes, it's the end of the post-game show as we know it.

  • Researchers Map Chaos Inside Cancer Cell

    Posted Dec 29, 2008 to Network Visualization / 4 comments

    Researchers Map Chaos Inside Cancer Cell

    The thing about cancer cells is that they suck. Their DNA is all screwy. They've got chunks of DNA ripped out and reinserted into different places, which is just plain bad news for the cells in our body that play nice. You know, kind of like life. Researchers at the Baylor College of Medicine in Houston have compared the DNA of a certain type of breast cancer cell to a normal cell and mapped the differences (and similarities) with the above visualization.

    The graphic summarizes their results. Round the outer ring are shown the 23 chromosomes of the human genome. The lines in blue, in the third ring, show internal rearrangements, in which a stretch of DNA has been moved from one site to another within the same chromosome. The red lines, in the bull's eye, designate switches of DNA from one chromosome to another.

    Some design would benefit the graphic so that your eyes don't bounce around when you look at the technicolor genome but it's interesting nevertheless.

    Check out the Flare Visualization Toolkit or Circos if you're interested in implementing a similar visualization with the above network technique.

    [Thanks, Robert]

  • Budweiser Maps Drinkabilty of Bud Light Beer

    Posted Dec 28, 2008 to Mapping / 4 comments

    Yes, watered down and flavorless beer has high drinkability. You know, sort of like water. The difference is shade of yellow.

  • Because It’s Friday: Escalators

    Posted Dec 26, 2008 to Miscellaneous / 1 comment

    Because It’s Friday: Escalators

    [via xkcd | Thanks, Justin]

  • FlowingData Takes A Break

    Posted Dec 24, 2008 to Announcements / Add your comment

    FlowingData posts will slow down this holiday week. I'm going to be busy watching all the movies coming out this Christmas and eating a lot of food that will inevitably cause extended hours of sleep. I hope all of you get to do the same or something similar. Merry Christmas and a happy new year!

    Regular posting will resume on January 1, 2009 to satisfy your data visualization needs. Try not to take it too hard, but if it's too much to handle, try the FlowingData archives. There's lots of good stuff in there.

  • All You Can Eat at the Twitter Data Buffet

    Posted Dec 24, 2008 to Data Sources / 20 comments

    Philip from infochimps posts the results of some heavy Twitter scraping. Data for 2.7 million users, 10 million tweets, and 58 million edges (i.e. connections between users) to satisfy your data hunger are available for download. I know a lot of you social network researchers will especially appreciate the big dataset, and best of all, Twitter gave Philip permssion to release. Yes, you could use the Twitter API, but isn't it better when someone does it for you?

    Download the data here. The password is the Ramanujan taxicab number followed by the word
    'kennedy' - all one word. Google is your friend, if that doesn't make sense.

    [Thanks, Tim]