Informatics (Sep 2022)

A Visual Data Storytelling Framework

  • Yangjinbo Zhang,
  • Mark Reynolds,
  • Artur Lugmayr,
  • Katarina Damjanov,
  • Ghulam Mubashar Hassan

DOI
https://doi.org/10.3390/informatics9040073
Journal volume & issue
Vol. 9, no. 4
p. 73

Abstract

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While the consumption of visual information becomes a daily commodity integrated into our lives, data visualisation is dominated by dashboards and charts. The main contribution of this article is an advanced way to visualise data as a data story. We converged paradigms from digital storytelling, serious games, and data visualisation to turn data into useful insights. The creation, management, and analysis of data have been increasingly given more attention in industry and professional practices. However, the potential of packaging data and analytic results into easily digestible and visually explorable content intended for non-professional audiences has not yet been investigated to its full extent. We contributed towards overcoming the gap between data analytics and data presentation. By integrating a story-like environment and entertainment into data visualisation, we explore the possibilities of efficiently communicating data and insights to general audiences in a casual context. We present this modular approach to customising messages for visual data storytelling from an information and communication perspective, including a test prototype developed to illustrate our data storytelling framework.

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