TY - JOUR
T1 - Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying
AU - Lee, Doris Jung Lin
AU - Siddiqui, Tarique
AU - Karahalios, Karrie
AU - Parameswaran, Aditya
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2020/10/9
Y1 - 2020/10/9
N2 - 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.
AB - 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.
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U2 - 10.1016/j.patter.2020.100126
DO - 10.1016/j.patter.2020.100126
M3 - Comment/debate
C2 - 33205145
AN - SCOPUS:85099899789
SN - 2666-3899
VL - 1
JO - Patterns
JF - Patterns
IS - 7
M1 - 100126
ER -