2020
DOI: 10.1016/j.patter.2020.100141
|View full text |Cite
|
Sign up to set email alerts
|

Principles of Effective Data Visualization

Abstract: Summary We live in a contemporary society surrounded by visuals, which, along with software options and electronic distribution, has created an increased importance on effective scientific visuals. Unfortunately, across scientific disciplines, many figures incorrectly present information or, when not incorrect, still use suboptimal data visualization practices. Presented here are ten principles that serve as guidance for authors who seek to improve their visual message. Some principles are less tech… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
22
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2
2

Relationship

1
8

Authors

Journals

citations
Cited by 36 publications
(22 citation statements)
references
References 21 publications
0
22
0
Order By: Relevance
“…The aim is to present data simply, clearly, and honestly without clutter, confusion, or deception so that readers can focus on the research story 6, 23 . Fortunately, software, training, and advice on how to prepare display items is readily available 5, 6, 7, 24, 25 .…”
Section: Discussionmentioning
confidence: 99%
“…The aim is to present data simply, clearly, and honestly without clutter, confusion, or deception so that readers can focus on the research story 6, 23 . Fortunately, software, training, and advice on how to prepare display items is readily available 5, 6, 7, 24, 25 .…”
Section: Discussionmentioning
confidence: 99%
“…Visualisations can be manipulated by the geometry or type of figure used and the aesthetics of the elements in the figure [ 29 ]. Perceived aesthetics have been shown to be correlated with user engagement, where users were more likely to spend longer time studying a figure when the design of the visualisation was more pleasing to the eye [ 30 ].…”
Section: Design Considerationsmentioning
confidence: 99%
“…Clear, effective data visualizations often rely on clarity and simplicity (Midway, 2020) , yet scientific data has become increasingly complex over the last few decades (Cordero et al, 2016;Kamath, 2001) . One key feature of effective dynamic data visualizations is their ability to pack rich information into relatively simple displays, via two components that can be found in most recent, eye-catching content: interactivity and animation (Fig.…”
Section: The Case For Dynamic Visualizationsmentioning
confidence: 99%