ei Electronic Imaging 2470-11732470-1173 Society for Imaging Science and Technology IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA 10.2352/EI.2022.34.1.VDA-415 VDA-415 Article Nirmaan: Dataset generation for multiclass scatterplot studies Wong Allison Geico, United States Joshi Alark University of San Francisco, United States Engle Sophie University of San Francisco, United States Abstract

This paper presents Nirmaan, an open-source web-based tool for generating synthetic datasets of multiclass blobs for use in research related to scatterplots. We demonstrate how to use Nirmaan to generate datasets in the context of a user study where users must determine the centers of each class, but this tool can be used to generate datasets for other scatterplot tasks as well.

 16 01 2022 34 VDA 1 415-1 415-6 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. 2022 visualization dataset generation multiclass scatterplot