Poddar, MadhavBeck, FabianKucher, KostiantynDiehl, AlexandraGillmann, Christina2024-05-212024-05-212024978-3-03868-258-5https://doi.org/10.2312/evp.20241082https://diglib.eg.org/handle/10.2312/evp20241082Datasets with absolute values that represent fractions of a whole are commonplace. To visualize these datasets, one can decide between visualizations highlighting the absolute value or the fractional value, but there are variants of visualizations that account for both. In this work, we explore the design space of such visualizations that show both the absolute and fractional values. Along with this, we include an initial assessment on what analysis tasks pertain to these designs and how these tasks might be influenced by the input data characteristics.Attribution 4.0 International License10.2312/evp.202410823 pages