Axis Scaling
Axis Scaling is a visualization technique in parallel coordinates that adjusts the relative spacing and range of individual axes to optimize the representation of multidimensional data patterns.
12
Publications
960
Citations
31
Authors
15
Institutions
Publications per year
2017–2026
6
Parents
12
Use ggbreak to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers
Shuangbin Xu, Meijun Chen, Tingze Feng et al. · Frontiers in Genetics · 2021 · 367 citations · Full text
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University of Southern Mississippi
Hattiesburg, United States
2 h-index
4 publications
198 citations
Max Planck Society
Munich, Germany
1 h-index
3 publications
279 citations
Hewlett-Packard (United States)
Palo Alto, United States
1 h-index
3 publications
105 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
11 citations

Oak Ridge National Laboratory
Oak Ridge, United States
1 h-index
4 publications
64 citations
Robert H. Lurie Comprehensive Cancer Center of Northwestern University
Chicago, United States
1 h-index
1 publications
35 citations

London Metropolitan University
London, United Kingdom
1 h-index
1 publications
36 citations
Chalmers University of Technology
Gothenburg, Sweden
1 h-index
3 publications
243 citations
1–8 of 15
1 publications · 81 citations
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JECP · 1 publications · 36 citations
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PRB · 1 publications · 93 citations
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1 publications · 16 citations
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1 publications · 367 citations
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