MacTavish, MiaEtemad, KatayoonSamavati, FaramarzWillett, Wesley2021-07-272021-07-272021-05-27MacTavis, M., Etemad, K., Samavati, F., Willett, W. (2021). Perspective Charts. [Conference proceeding]. Proceedings of Graphics Interface 2021. https://doi.org/10.20380/GI2021.28http://hdl.handle.net/1880/113671https://doi.org/10.11575/PRISM/46072We introduce three novel data visualizations, called perspective charts, based on the concept of size constancy in linear perspective projection. Bar charts are a popular and commonly used tool for the interpretation of datasets, however, representing datasets with multi-scale variation is challenging in a bar chart due to limitations in viewing space. Each of our designs focuses on the static representation of datasets with large ranges with respect to important variations in the data. Through a user study, we measure the effectiveness of our designs for representing these datasets in comparison to traditional methods, such as a standard bar chart or a broken-axis bar chart, and state-of-the-art methods, such as a scale-stack bar chart. The evaluation reveals that our designs allow pieces of data to be visually compared at a level of accuracy similar to traditional visualizations. Our designs demonstrate advantages when compared to state-of-the-art visualizations designed to represent datasets with large outliers.engUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Information VisualizationData VisualizationComputer Graphicsconference paperhttps://doi.org/10.20380/GI2021.28