NDLI: Exploration and Explanation in Data-Driven Storytelling

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Exploration and Explanation in Data-Driven Storytelling

Content Provider	Scilit
Author	Thudt, Alice Walny, Jagoda Gschwandtner, Theresia Dykes, Jason Stasko, John
Copyright Year	2018
Description	In visualization, it may seem that exploration and explanation are opposite ends of a spectrum: that increasing the focus on explanation and communication necessarily reduces the ability for exploration. However, data-driven stories challenge this notion by combining exploration and explanation in creative new ways. The chapter argues that making a visualization more exploratory does not necessarily take away from its explanatory value and vice versa. It considers the explanatory and exploratory aspects of the data-driven stories they have seen. The chapter shows interesting examples that show how exploration and explanation interact and complement one another in the evolving landscape of data-driven storytelling. It describes the exploration-explanation space in light of recent visualization research and experience in exploratory visualizations. The chapter identifies three dimensions—view, focus, and sequence—along which exploration and explanation can vary. Book Name: Data-Driven Storytelling
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781315281575-3&type=chapterpdf
Ending Page	83
Page Count	25
Starting Page	59
DOI	10.1201/9781315281575-3
Language	English
Publisher	Informa UK Limited
Publisher Date	2018-03-28
Access Restriction	Open
Subject Keyword	Book Name: Data-driven Storytelling Artificial Intelligence Explanation Data Driven Storytelling Exploratory Visualization Necessarily
Content Type	Text
Resource Type	Chapter

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