For nearly two years I acted as a data visualizer, and design strategist for a research foundation based in Toronto. I was responsible for visualizing complex data sets, communicating abstract urban planning concepts/policies through graphic design, and offering design strategy for content creation. I worked alongside planners, researchers, transit experts, analysts to assist in formulating research plans, illustrate findings, and figure out a way to make it all relatable. Working with data unleashed my scientific side, and revealed the power (and shortcomings) of data to gain insight, influence humans, and effectively understand the world around us. Some of the data sets I worked with included the Transportation Tomorrow Survey, Stats Canada, and various sources of GIS data.

 

One of the biggest difficulties in dealing with large data sets is finding the right variables to compare, and developing layouts/concepts that allow these variables to be virtually juxtaposed for analysis. Thus, I am a huge proponent in combining specific data sets into a cohesive graphic where one can instantly understand the ‘big picture’ of the data.

 

Great research requires asking great questions, and knowing the power and limitations of the data you are working with. Often times you have to take a step back and know exactly howthe data was collected and extracted to come to any honest conclusions. In other words, know your sources of error. In this role I have invented various ways of visualizing information that is both project-specific and can be applied in other contexts. My work in this field taught me that research is defined not necessarily by the answers you formulate, but knowing the right questions to ask, and letting your process mold to these critical questions and hard-earned answers.