AMY E MARTIN // Blog

For our Interaction Scripting Studio final project, I am focusing on my data visualizations of war, films, media and probably death counts (or maybe just make puppy viewer work dynamically).

So tons of websites with large amounts of data are making APIs available to developers for application development and visualization (Flickr, Twitter, NYTimes, pretty much any next gen website, etc). There are also sites that provide visualization tools for you and encourage experimentation. The NYTimes Viz Lab is one of them. They provide a set number of datasets and a number of tools (like Wordle) and let people go crazy. Google also provides tons of tools including their Google Visualization API. IBM's Many Eyes takes it a step further and allows users to add their own data sets.

It's an exciting field and it makes my brain buzz. However, I found this article in SEED Magazine Getting Past the Pie Chart that talks about how, perhaps, the data viz explosion may not be making data any clearer. There is also a very real danger of making causal connections where none exist.

Still, data visualization done well can be a combination of design and science which becomes beautiful, meaningful and inspiring. I absolutely love it. Here is a screenshot of a project I'm working on. It's the further refinement of one of my original circle graphs. What I'd like to do is see if I can add some more stats to the graph without overloading it. In my head that means tilting the graph back to add a third dimension and perhaps including casualty data vertically from each war (and if I can find it, for each movie the films are about).