A Web Framework for Explainable and Malleable Visualisation

Simon Malthe Hansen, Ira Assent, Hans-Jörg Schulz

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Abstract

We present a novel web-framework which combines malleability in both the visualisation and pre-processing steps of the data visualisation pipeline. The framework lets users create Charts which can be visually modified to the use case, and each have their own fully editable Python code model with access to Python's extensive libraries. This puts the user in control over both pre-processing in Python and the final visualisation, making the effects of each pipeline step explainable and transparent.
Original languageEnglish
Title of host publicationEuroVisPosters2024 : Poster Proceedings of the 26th Eurographics Conference on Visualization
EditorsKostiantyn Kucher, Alexandra Diehl, Christina Gillmann
Number of pages3
PublisherThe Eurographics Association
Publication date2024
ISBN (Electronic)978-3-03868-258-5
DOIs
Publication statusPublished - 2024

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