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Visualizing New York’s Transit Data: Car Class



Designers Sam Carmichael and Sunnie Sang were tasked with parsing, cleaning, and visualizing data from the MTA regarding how reliable certain types of train cars are. This data was then mocked up and presented in the format of a legible, user-friendly iPad app for members of the MTA.

In their design they used multiple time scales to convey macro trends as well as data from specific months, and even leveraged polynomial forecasting to provide a view into the future of train car reliability. Their hope is that this information can be used to both choose train car manufacturers and also to schedule train overhauls and purchases going forward.