Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space

Kassandra Raymond, Andrew Hamilton-Wright

2020

Abstract

We present a novel visualization tool designed to provide support for the analysis of data sets focused around deviation from a baseline and including data from multiple series. The incorporation of a floating baseline makes the curtain graph distinct from waterfall plots and bar charts. Each data series therefore has a visual anchor that assists in interpretability, gives focus, and provides a means for easily broadening analysis across all presented series. The use of this tool in real-world examples based on relative and absolute comparisons is discussed.

Paper Citation

in Harvard Style

Raymond K. and Hamilton-Wright A. (2020). Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 3: IVAPP; ISBN 978-989-758-402-2, SciTePress, pages 125-132. DOI: 10.5220/0008874001250132

in Bibtex Style

@conference{ivapp20,
author={Kassandra Raymond and Andrew Hamilton-Wright},
title={Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 3: IVAPP},
year={2020},
pages={125-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008874001250132},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 3: IVAPP
TI - Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space
SN - 978-989-758-402-2
AU - Raymond K.
AU - Hamilton-Wright A.
PY - 2020
SP - 125
EP - 132
DO - 10.5220/0008874001250132
PB - SciTePress