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2015 | OriginalPaper | Buchkapitel
1. Show, Don’t Tell
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Abstract
Too often, I see visual representations of data used as a means to an end, reinforcing or adding creditability to an argument, or worse still an attempt to decorate or distract. Those experienced with handling large quantities of raw data will know of the pleasures that can be had from uncovering hidden truths buried within. These may be unusual and unexpected, sometimes even controversial. They provoke thought, spark conversations, and encourage further exploration. By carefully selecting data and display methods, we are able to communicate these discoveries without explicit exposition, allowing the reader to explore the rich data landscape that lies before us. In this article, I will discuss the challenges and opportunities when showing data in my work. Building on recent projects, I shall try to demonstrate how visualizations may not only reveal the meaning of data in a graphical manner, but also produce meaning through new styles of visual language.