A Parsons Design + Technology collaboration studio exploring design methods for telling compelling stories with data.

reading response 2

Posted: September 17th, 2009 | Author: seung | Filed under: Uncategorized | Comments Off

Proclarity:
The purpose of data visualization is communicating information effectively.
Dots, lines, bars, boxes, charts, etc. are made to help viewers understand data better. How to use those elements is the key to successful communication. And, proclarity can be a good tool to organize data clearly. However, I wonder if being effective is always good thing. The result could be just boring visualization like bars and charts. The reading explains well about elements of data, and how to formulate them, but it seems like most of things described could be doneĀ  without thinking about them. BecauseĀ  our brain processes some data intuitively, even before we think about them.

showing complex data:
This reading also talks about visualization techniques. The difference between Proclarity and Tidwell is that Tidwell article includes visualization in interactive platform such as software, website, and UI. I find this reading more interesting because it shows how same data can be visualized differently by rearranging data. It seems like the author talks about specific technique and how and when it can be used. But, I’m not sure I agree on that. I think everybody’s brain digest information differently, so there can’t be set rules about certain technique works best in certain cases.



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