MICHELLE TSE

Personal Change Detection Log

   From January to May 2010 for 16 weeks, I recorded every dollar I spent. The data was split into six categories: transporta- tion, food, social outings (bars, museums not required by school, etc), entertainment (movies, theater), retail and school related spendings such as supplies and books. The data was then looked at as a bi-weekly percentage comparative chart, listed chronologically by daily routine, and comparative per category. The collected data was also mapped up against comparing the weather data of the city during that particular day— thus creating a gradient that tracks the relativity of the ups and downs of the weather from winter to spring. A map of the places I frequented was also drawn up to better understand how I inhabit New York City (seen left).

   After the data was collected and analyzed, it was apparent that the only category that stayed relatively consistent was food. Transportation costs correlated most with social and entertainment outings, and retail most correlated with the change in weather patterns. School, as expected, greatly diminished any social interaction during midterms and finals times.

   By organizing my data different ways, I am able to increase my perception and gain a further understanding of my patterns as it relates to my surrounding environment. These infographics become aesthetic, critical and thought relation images that allow me to reflect on my sheets of the past semester in the peak of the present.

Spring 2010
Mentor: Jean Gardner, Brain McGrath
(project selected for archive)