4.1 Article

Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying

Journal

PATTERNS
Volume 1, Issue 7, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.patter.2020.100126

Keywords

-

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available