Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution

Version 1.0
Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution
Rodrigues, Nils; Schulz, Christoph; Döring, Sören; Baumgartner, Daniel; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution", https://doi.org/10.18419/darus-3055, DaRUS, V1
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Description

Supplemental material for the paper "Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution".

Contains:

  • math behind Relaxed Dot Plots
  • additional images
  • pseudo-anonymous study data
  • source code for library and test application

To view the material, extract supplemental.zip and open index.html in a web browser.

Subject Computer and Information Science
Keyword Visualization Techniques, Data Visualization, Statistical Graphics, Lloyd's Algorithm
Related Publication Nils Rodrigues, Christoph Schulz, Sören Döring, Daniel Baumgartner, Tim Krake, and Daniel Weiskopf, "Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution," in IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 1, Jan. 2023, accepted.
Notes Math jointly by Nils Rodrigues and Tim Krake. Source code mostly by Sören Döring and Daniel Baumgartner with some details by Nils Rodrigues. Concept jointly by Nils Rodrigues, Christoph Schulz, Sören Döring, Daniel Baumgartner, Tim Krake, and Daniel Weiskopf.
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1 File
supplemental.zip
ZIP Archive - 169.9 MB
Published Sep 21, 2022
20 Downloads
MD5: 3d83b74d9c8f3607dc0db81aed8eaf82
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The contents of the repository are published under different licenses:
  • The contained code files (library and test application) are copyrighted by Sören Döring and Daniel Baumgartner. They are published under the Apache License, Version 2.0; you may not use the software except in compliance with the License. You may obtain a copy of the license at http://www.apache.org/licenses/LICENSE-2.0.
  • IEEE copyright and licenses might apply for images that are used in the related publication.
  • The included HTML files use the third-party library highlight.js for syntax highlighting. It is available under the BSD 3-clause license: 
    BSD 3-Clause License

Copyright (c) 2006, Ivan Sagalaev.
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  • The remaining files (math behind, additional images, and study data) are published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You may obtain a copy of the license at https://creativecommons.org/licenses/by/4.0/.
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