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Item Transient Visual Analytics(The Eurographics Association, 2024) Schulz, Hans-Jörg; Weaver, Chris; El-Assady, Mennatallah; Schulz, Hans-JörgVisual Analytics often utilizes progression as a means to overcome the challenges presented by large amounts of data or extensive computations. In Progressive Visual Analytics (PVA), data gets chunked into smaller subsets, which are then processed independently, and subsequently added to a visualization that completes over time. We introduce Transient Visual Analytics (TVA), which complements this incremental addition of data with progressive removal of data as it becomes outdated, starts to clutter the visualization, and generally distracts from the data that is currently relevant to visual analysis. Through combinations of various progressive addition and removal strategies, and supported by suitable analogies for the analyst and the software engineer, TVA captures a variety of visual analysis scenarios and approaches that are not well captured by PVA alone.Item Highways and Tunnels: Force Feedback Guidance for Visualisations(The Eurographics Association, 2024) Alrøe, Sarah Fjelsted; Hoggan, Eve; Schulz, Hans-Jörg; Tominski, Christian; Waldner, Manuela; Wang, BeiNon-visual methods of user guidance in visualisations are still relatively underexplored. This paper aims to address this, by establishing a foundation for appropriately using haptic force feedback in a pointing device to provide guidance, with a focus on pulling and constraining. To explore these guidance methods, a force feedback enabled mouse was constructed, along with a force feedback enabled data visualisation. A user study was conducted, subjecting the participants to different degrees of pulling and constraining guidance, helping them solve navigation tasks. The study found significant quantitative and qualitative changes in behaviour and experience across conditions. We conclude that these two modes of feedback can be used for directing and prescribing guidance situations, provided they are used with restraint.Item EuroVis 2024 Panels and Tutorials: Frontmatter(The Eurographics Association, 2024) Schulz, Hans-Jörg; Isenberg, Tobias; Schulz, Hans-Jörg; Isenberg, TobiasItem LaNe Plot: A Visual Fingerprinting Technique for Sequential Data(The Eurographics Association, 2024) Rathish, Harith; Picón, Ginés Carreto; Schulz, Hans-Jörg; Kucher, Kostiantyn; Diehl, Alexandra; Gillmann, ChristinaVisual summaries of sequential data are often used to identify common trends at a glance. In this poster, we propose a visualization technique to fingerprint sequential data by showing the difference between contiguous data points. For each data point in the sequence, we visualize the difference between itself and the last data point as well as the next data point. As an application, we visualized the revision histories of Wikipedia articles to demonstrate the exploratory value of this technique.Item EuroVa 2024: Frontmatter(The Eurographics Association, 2024) El-Assady, Mennatallah; Schulz, Hans-Jörg; El-Assady, Mennatallah; Schulz, Hans-JörgItem A Framework for Axis Breaks in Charts(The Eurographics Association, 2024) Thorsøe, Rasmus; Locher, Peter; Rathish, Harith; Schulz, Hans-Jörg; Linsen, Lars; Thies, JustusAxis breaks are used in charts, for example, to reduce whitespace, to accommodate outliers, or to show data at different scales. Proposed in the 1980s, axis breaks have not gotten much attention since then in terms of what characterizes ''good'' breaks, how many of them to introduce, and where to best place them? To answer these questions, we propose a five-step framework that specifies (1) the number of breaks, (2) their position, (3) the scaling of the resulting subaxes, (4) the ''niceness'' of the breaks, and (5) the formatting of the breaks. To apply this framework, we introduce a new metric, called skew, to quantify how unevenly distributed points are along an axis. Skew is then used as a cost function to formulate the search for optimal axis breaks as a clustering problem, which we solve by applying a dynamic k-means algorithm. We apply our framework specifically to Parallel Coordinate Plots and compare our algorithmic solution to established methods like percentile breaks and Jenks natural breaks. An interactive testbed to try our framework as well as its source code are made freely available.Item A Web Framework for Explainable and Malleable Visualisation(The Eurographics Association, 2024) Hansen, Simon Malthe; Assent, Ira; Schulz, Hans-Jörg; Kucher, Kostiantyn; Diehl, Alexandra; Gillmann, ChristinaWe 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.Item EuroVa 2025: Frontmatter(The Eurographics Association, 2025) Schulz, Hans-Jörg; Villanova, Anna; Schulz, Hans-Jörg; Villanova, Anna