Abstract
This CHI PLAY 2020 masterclass offers an introduction into information visualization and how it can assist in the analysis and communication of the wide variety of data gathered in games-related research. The goal is to provide an overview of easy-to-apply visualizations for both quantitative and qualitative data frequently used within the CHI PLAY community, including survey, textual, relational, and spatial data. It is intended for everyone interested in how to represent and communicate data in an easily-understandable way.
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CITATION STYLE
Wallner, G., & Kriglstein, S. (2020). Masterclass on information visualization for games research. In CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (pp. 3–4). Association for Computing Machinery, Inc. https://doi.org/10.1145/3383668.3419849
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