Adil Yalcin: Making Data Visualization More Comprehensible

By Marcus Fedarko
Student Staff Writer

PhD student Adil Yalcin's work on Keshif, a web-based data visualization tool designed to be readily usable to a wide audience, was featured in a Mobility Lab article this Monday. Yalcin is co-advised by Associate Professor Niklas Elmqvist and Professor Ben Bederson.

Keshif, per its website, “...lets you explore and understand your data collections, visually [and] easily.” Among many other features designed to improve usability the program determines the most suitable visualization for a set of data, reducing the amount of complexity the tool's users are faced with.

Congratulations to Yalcin for this well-deserved recognition!

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