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Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying
Doris Jung-Lin Lee1, Tarique Siddiqui2, Karrie Karahalios2
1University of California, Berkeley, Berkeley, California, USA.
Patterns (New York, N.Y.)
|November 18, 2020
Abstract:
Exploratory data analysis is a crucial part of data-driven scientific discovery. Yet, the process of discovering insights from visualization can be a manual and painstaking process. This article discusses some of the lessons we learned from working with scientists in designing visual data exploration system, along with design considerations for future tools.
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