Data Visualization Wine and Cheese

Published on January 11th, 2017 | by Joshua New

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Pairing Wine and Cheese with Data Science

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.

Take a look.

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About the Author

Joshua New is a 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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