Examining data visualization pitfalls in scientific publications

Examining data visualization pitfalls in scientific publications

Abstract Data visualization blends art and science to convey stories from data via graphical representations. Considering different problems, applications, requirements, and design goals, it is challenging to combine these two components at their full force. While the art component involves creating...

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Bibliographic Details
Main Authors: Vinh T Nguyen, Kwanghee Jung, Vibhuti Gupta
Format: Article
Language:English
Published: SpringerOpen 2021-10-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Data visualization
Graphical representations
Misinformation
Visual encodings
Association rule mining
Word cloud
Online Access:https://doi.org/10.1186/s42492-021-00092-y

Internet

https://doi.org/10.1186/s42492-021-00092-y

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