Dashboard Design: Interactive and Visual Exploration of Spotify Songs

Sarah Clavadetscher, Michael Schlotter, Nadine Christen, Juliane Streitberg, Michael Burch

2024

Abstract

In this paper we describe an approach to create interactive visualization tools for simple datasets that exist in various application domains which many people are familiar with and interested in, like sports, entertainment, traffic, or health care. Such data problems require a simple but elegant visual solution to support the non-experts in information visualization at their tasks at hand, supported by easy-to-understand interaction techniques. We start our approach with the design phase in which a hand-drawn mockup is created and based on this, an interactive dashboard in Dash, Plotly, and Python is built. The design of the tool is guided by user feedback of 23 participants in qualitative interviews taking into account eight relevant criteria before starting the design of a visualization tool. We illustrate the usefulness of the tool by applying it to a dataset focusing on songs from the music streaming platform Spotify while we integrate several diagrams in a multiple and coordinated views manner to visually explore a given dataset based on several visual perspectives. With the combination of the many diagrams we can find insights in the mood categories of the songs and several other attributes, hence allowing visual analyses and explorations. Finally, we discuss limitations and scalability issues of the approach.

Paper Citation

in Harvard Style

Clavadetscher S., Schlotter M., Christen N., Streitberg J. and Burch M. (2024). Dashboard Design: Interactive and Visual Exploration of Spotify Songs. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-679-8, SciTePress, pages 653-660. DOI: 10.5220/0012359100003660

in Bibtex Style

@conference{ivapp24,
author={Sarah Clavadetscher and Michael Schlotter and Nadine Christen and Juliane Streitberg and Michael Burch},
title={Dashboard Design: Interactive and Visual Exploration of Spotify Songs},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2024},
pages={653-660},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012359100003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - Dashboard Design: Interactive and Visual Exploration of Spotify Songs
SN - 978-989-758-679-8
AU - Clavadetscher S.
AU - Schlotter M.
AU - Christen N.
AU - Streitberg J.
AU - Burch M.
PY - 2024
SP - 653
EP - 660
DO - 10.5220/0012359100003660
PB - SciTePress