With so much effort being devoted to the back-office manipulation and storage of semantic data, it is all too easy to forget the opportunities - and challenges - posed in inviting mainstream users to ‘browse the graph’ of semantic data. With expert contributions from MIT’s David Karger and the DBpedia team’s Christian Becker, the Gang sets about ensuring that the Interface is not forgotten.
Also huffduffed as…
A data visualization, when done well, can be an incredibly powerful way to communicate information. It ultimately boils down to the choices you make in how to design and present the data. If you make the wrong choice you can run the risk of not accurately displaying the data or struggling to effectively tell its story.
Brian Suda, author of A Practical Guide to Designing with Data, believes experimentation is a big part of arriving at the right choices. As ideas end up on the cutting room floor, not only do you arrive at a great visualization, but you’re building your toolbox along the way. This practice and experimentation leaves you with a template to apply to future projects.
Essentially, arriving at the right choices now allows you to make better choices later. If you learn the best ways to represent different types of data, you can then apply that knowledge to any data sets you may have to visualize.
Brian will be sharing his insights on data visualizations in his virtual seminar, The Design Choices You Make for Information: How to Create Great Data Visualizations, on Thursday, May 17. You won’t want to miss out on Brian’s pragmatic tips and techniques. Save your spot in Brian’s seminar.
As always, we love to hear what you’re thinking. Share your thoughts with us in our comments section.
We have Marian Dörk on the show today to talk about the “Information Flaneur”: an approach to data visualization centered on navigating, exploring, browsing and observing the data with curiosity to learn about what’s there to see and to be surprised by new thoughts and discoveries.
Marian is Research Professor at the University of Applied Sciences Potsdam near Berlin where he works on “exploring novel uses of interactive visualizations to support a wide range of information practices”.
We talk about many interesting new directions for visualization like the visualizing data starting from a few seed points, whether we always need an overview first in visualization and tips on how to design visualization for “information flaneurs”.
Enjoy the show!
Marian’s Patina Project
Marian’s Information Flaneur Paper
Marian’s Pivot Paths
Shneiderman’s Overview first, filter and zoom, and details on demand
Lev Manovich work on Cultural Analytics
Pirolli and Card’s Information Scent Theory
Monadic exploration / Beautiful trouble
Enrico’s Paper on Egocentric Biochemistry Visualization
Van Ham and Perer’s Paper: “Search, show context, expand later”
Mitchell Whitelaw’s Generous interfaces
Marian’s Edge Maps
The Semantic Link – Episode 1, December 2010