University of Toronto computational biology professor Gary Bader has created an interactive data visualization that allows users to identify complementary wine and cheese pairings based on different factors, including a wine’s country of origin and a cheese’s moisture level. The visualization uses software called Cytoscape that Bader and other researchers initially developed for complex genetic and molecular analysis, such as mapping the relationship between different genes and autism or cancer. Users can search for approximately 1,000 ideal pairings between 100 different red and white wines and 270 cheeses.
Pairing Wine and Cheese with Data Science
Joshua New is a senior policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life. Follow Joshua on Twitter @Josh_A_New.
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