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Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying

Published Web Location

https://doi.org/10.1016/j.patter.2020.100126
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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