Usage of Visualization Techniques in Data Science Workflows

Johanna Schmidt

Abstract

The increasing interest in data science and data analytics lead to a growing interest in data visualization and exploratory visual data analysis. However, there is still a clear gap between new developments in visualization research, and the visualization techniques currently applied in data analytics workflows. Most of the commonly used tools provide basic charting options, but more advanced visualization techniques have hardly been integrated as features yet. This especially applies for interactive exploratory data analysis, which has already been addressed as the ’Interactive Visualization Gap’ in the literature. In this paper we present a study on the usage of visualization techniques in common data science tools. The results of the study confirm that the gap still exists. For example, we hardly found support for advanced techniques for temporal data visualization or radial visualizations in the evaluated tools and applications. On the contrary, interviews with professional data analysts confirm strong interest in learning and applying new tools and techniques. Users are especially interested in techniques that can support their exploratory analysis workflow. Based on these findings and our own experience with data science projects, we present suggestions and considerations towards a better integration of visualization techniques in current data science workflows.

Download


Paper Citation


in Harvard Style

Schmidt J. (2020). Usage of Visualization Techniques in Data Science Workflows.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-402-2, pages 309-316. DOI: 10.5220/0009181903090316


in Bibtex Style

@conference{ivapp20,
author={Johanna Schmidt},
title={Usage of Visualization Techniques in Data Science Workflows},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2020},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009181903090316},
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 - Volume 3: IVAPP,
TI - Usage of Visualization Techniques in Data Science Workflows
SN - 978-989-758-402-2
AU - Schmidt J.
PY - 2020
SP - 309
EP - 316
DO - 10.5220/0009181903090316