Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying

Doris Jung Lin Lee, Tarique Siddiqui, Karrie Karahalios, Aditya G Parameswaran

Research output: Contribution to journalComment/debatepeer-review

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. 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.

Original languageEnglish (US)
Article number100126
JournalPatterns
Volume1
Issue number7
DOIs
StatePublished - Oct 9 2020

ASJC Scopus subject areas

  • General Decision Sciences

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