Hansen, Simon MaltheAssent, IraSchulz, Hans-JörgKucher, KostiantynDiehl, AlexandraGillmann, Christina2024-05-212024-05-212024978-3-03868-258-5https://doi.org/10.2312/evp.20241080https://diglib.eg.org/handle/10.2312/evp20241080We 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.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Visualization toolkits; Software and its engineering → Integrated and visual development environmentsHuman centered computing → Visualization toolkitsSoftware and its engineering → Integrated and visual development environments10.2312/evp.202410803 pages