Posted on Apr 6, 2010

This American Infographic

This great site provides a companion infographic for every episode of NPR’s This American Life series.

Cleanly presented and arranged like a narrative, these visualizations outline some of the key facts of an episode and demonstrate a nice example of how infographics can be used to tell a story.

Posted on Mar 30, 2010

Data Visualization with Microsoft Pivot

Microsoft Pivot is an experimental new platform from Microsoft Labs that allows users to interact and visualize massive amounts of data.

Pivot garnered quite a bit of attention at the 2010 MIX conference, and attendees were apparently wowed by the elegant and engaging interaction model.

I can see numerous applications for this technology in my field of healthcare technology. Pivot could be used to track symptoms across thousands of patients, identifying trends, common side-effects, and adverse events. The application could also have use for processing and analyzing electronic medical records.

Check out the demo video here:

The Microsoft Pivot platform is a free download from Microsoft Labs. Worth a look!

You may also want to check out Mike Demopoulos’ write up on healthcare applications of technologies promoted at the 2010 MIX Conference at Cambridge BioMarketing’s Biorhythms blog. Mike also hosts two great blogs on Silverlight and WPF development.

Posted on Nov 24, 2009

Posted on Nov 3, 2009

Posted on Oct 22, 2009

Visualizing 100 Health-related Web Searches

Conditions and symptoms dominate online health searches… Read more at http://tinyurl.com/ylc29cv

Posted via web from bzipkin’s posterous

Posted on Aug 18, 2009

Interesting Findings from Twitter Usage Study

Twitter….seemingly so much promise, but for those of us who aren’t social media experts…what’s the real deal?

Pear Analytics released a new study on Twitter usage trends. They tracked 2,000 tweets over a 2-week period and then categorized them into six usage buckets: news tweets, spam, self-promotion (my favorite), pointless babble, conversational tweets, and pass-along value. Tweets containing “RT” were categorized as “pass along”, and those using “@” were considered conversational.

The study revealed that over two thirds of tracked tweets were either “pointless babble” or “conversational”. I suppose this isn’t too surprising. However, the study found that news-related tweets constituted the smallest category; less than 4% of tweets are news-related.

The study is provided in whitepaper format on Pear’s website and is worth a read. There are also some interesting findings on user demographics and the overall reach of Twitter.

I’ve been a Twitter user for a couple of years now. My usage is casual at best. Maybe I’ll check once or twice a day and perhaps post a handful of tweets a week. I’ve never really used it for promotion, nor have I made any effort to recruit followers. I find it useful for tracking news and updates on industries I’m interested in—hash tags are the most useful feature to me. But getting to the good stuff requires a lot of sifting. Several months ago I removed all the so-called “social media experts” from my follow list and the results were remarkable. It’s amazing how such a small group of power-users can create so much useless static.

Check out the visualization below (from Gizmodo). Despite the hype and promise, it’s easy to make the case that Twitter has become a soapbox for a select group of loud mouths. This statistic is likely one that keeps the Twitter founders up at night—it points to unsustainable business model.

If only 100 people were on Twitter

The Pear Analytics study is one of several that have clearly illustrated that Twitter provides value in terms of reach, trend-tracking, and marketing. However, the majority of content is either pointless or conversational and likely not of interest to the largest Twitter population: relatively passive users like me. The study highlighted a new service called Philtro that uses preferences and complex algorithms to serve up only the Tweets that you real care about—supposedly leaving the junk behind.

Posted on Dec 11, 2008

Interesting Visualization Charts Changes in S&P Market Index

I saw this great data visualization at Boing Boing.

S&P Percent Change from 1825

The graphic illustrates percent change in S&P Market Index, by year, going back to 1825. I like the simplicity and clear quantification across both percent change and time.

You’ll see 2008 you look to the far left (-50% change – worse since 1931). Yes, this has been a bad year!

Posted on Sep 29, 2008

A profitable symbiosis – iPhone and iTunes

I recently noticed that my monthly pending on iTunes has spiked to over $30.00—more than double than my previous monthly average. Not surprisingly, the increase correlates precisely with the time I’ve owned an iPhone.

If that wasn’t enough, I also noticed that there was a 3X increase in the number of purchases in July and August. I’m usually careful about my spending and I didn’t notice any real additional spending; the iPhone’s purchasing experience is dastardly clean and effortless.

Is this common among new iPhone owners? Apple has been vague about the amount of profit made from iTunes—mostly due to scrutiny from the entertainment industry. If you look at their Q308 financials, they indicate a 35% over the year in “Other Music Related Products and Services.” I’ll be interested to see if the numbers increase in Q408 with more iPhone 3G users.

I may be an anomoly, but it’s clear that the iPhone makes it much easier (and transparent) to purchase from iTunes, and I’m curious to see if this becomes a real boon to iTunes.

Posted on Sep 14, 2008

Four-Dimensional Universe Browsing

A group of astronomers in Japan have created a new four-dimensional approach for visualizing astronomical data. The 4D2U Navigator project is a Flash application that allows you to navigate through the vastness of the known universe using time, distance, and mass to provide an immersive tour through space.

 

Posted on Aug 27, 2008

Designing Your Search Experience

I’ve been working on a new research concept and prototype that will illustrate some future directions of search engines. New emerging technologies like the semantic web, RDF, the mobile web, and social media may open up unprecedented opportunities for controlling the ebb and flow of information. This control will be enhanced and increased as more powerful UI platforms like Adobe Flex and MS SilverLight continue to evolve. Accessing the WWW may become more akin to operating a customized application GUI than the linear browsing behavior we see today.

Key issues:

  • So what will this new search/information retrieval look like?
  • How will our web browsing experience change?
  • How can users design a search experience? What types of tools and UIs will they need to manipulate and customize their information?

These are questions I’ll be addressing with the team at RDVO. More coming soon, and any interesting ideas or links would be helpful!

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