I have uploaded the introductory lecture from Monday to Scribd, as seen above. The list of suggestions for possible data sources and comments on possible challenges are at the very end of the document. The visualization examples I used in the lecture are listed below.
In the section on self-ethnography I made rather heavy use of Nicholas Felton’s Feltron Report as a valuable reference. Please see his web site for more information on that project, you can even purchase hardcopies of the report for your own pleasure.
Visualization links & examples
Self-Ethnography – tools
The next two weeks I am teaching a workshop in Information Visualization and Self-Ethnography for the Interaction Design course at AHO. I’ll be posting links and resources here on the blog in the next few days.
Data collecting tools
Ever since doing Stockspace project it seems I am getting asked to do data-related work. This despite the fact that my personal interests diverge from such masters of insightful infographics as Martin Wattenberg, David McCandless or Jonathan Harris.
Suffice to say that I am more concerned with exploring data structures as spaces than I am with providing new understandings of the information contained within them. Manuel Lima’s Information Visualization Manifesto calls for a seriousness on the topic of data treatments, while my projects remain comfortably frivolous.
Recently I’ve been working on a project that has required researching data sources and adapting them to illustrate a bigger idea, which has led to much Googling in the absence of good data from the client. Sometimes you find the right thing immediately, but sometimes data is hard to find in a format that is freely available and easily parsable. Since I have found some good sources I thought I’d share them here…
Miscellaneous free data
I would be interested in hearing tips about any great data sets out there, particularly interesting time series data.
Miska Knapek recently sent me a link to a source of weather sensor data from Helsinki, including measurements of wind direction at the top of Helsinki’s Olympic Tower in 5-minute intervals. He has already made some wind visualization videos and some fabricated wind data sculptures based on this data.