Friday, May 14, 2010

The Feltron Report

In my Message and Content class we are creating a map of some type of information. This can be personal or not, but it has to be a visual representation of data. Our instructor showed us this site and I couldn't resist sharing.

Basically, this guy named Nicholas Felton collects information about his daily life and experiences and creates one giant annual report at the conclusion of each year to map the resulting data. He has his friends and acquaintances fill out questionnaires after each form of contact with him. The concept seems somewhat strange but the ending result is a beautiful collection of maps and information graphics that he calls the Feltron Report




here is his explaination for his 2009 report:
Each day in 2009, I asked every person with whom I had a meaningful encounter to submit a record of this meeting through an online survey. These reports form the heart of the 2009 Annual Report. From parents to old friends, to people I met for the first time, to my dentist… any time I felt that someone had discerned enough of my personality and activities, they were given a card with a URL and unique number to record their experience.

I kept track only of who I gave survey invitations to, the number of the card and where it was given. The surveys answers were submitted via text forms, allowing the respondee to write whatever they desired, and leaving the task of making comparisons between the data up to me. I have used only this information to create the report, however accurate it may be. I have strived to sort and collate the data in a clinical and repeatable manner that could be reproduced by someone looking for the same stories I have selected.

The data set itself was messy and overwhelming, and filled with enough information for several more reports. There are inherent shortcomings (like the unrepresentative amount of water recorded), and endearing strong suits (like the exploration of mood). I used several tools to make this task a more manageable, including Processing, which allowed me to map and explore alternate layouts much more quickly than previously, and Amazon's Mechanical Turk.




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