Title
Understanding the Effects of Visualizing Missing Values on Visual Data Exploration
Abstract
When performing data analysis, people often confront data sets containing missing values. We conducted an empirical study to understand the effect of visualizing those missing values on participants’ decision-making processes while performing a visual data exploration task. More specifically, our study participants purchased a hypothetical portfolio of stocks based on a data set where some stocks ...
Year
DOI
Venue
2021
10.1109/VIS49827.2021.9623328
2021 IEEE Visualization Conference (VIS)
Keywords
DocType
ISBN
Human-centered computing,Visualization,Empiriacal evaluation,Missing data
Conference
978-1-6654-3335-8
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Hayeong Song100.34
Yu Fu200.34
Bahador Saket314011.70
John Stasko45655494.01