Functional Aesthetics for Data Visualization

By: Vidya Setlur, Bridget Cogley

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Paperback | 29 November 2022 | Edition Number 1

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Paperback
336 Pages

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23.4 x 18.7 x 1.5

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What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole.

Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards.

How do you take your visualization skills to the next level? The book is perfect for analysts, research and data scientists, journalists, and business professionals. Functional Aesthetics for Data Visualization is also an indispensable resource for just about anyone curious about seeing and understanding data. Think of it as a coffee book for the data geek in you.

https://www.functionalaestheticsbook.com

About the Authors

Bridget Cogley, Interpreter turned analyst she brings an interdisciplinary approach to data analytics. Her dynamic, engaging presentation style is paired with thought-provoking content, including ethics and data visualization linguistics. She has a deep interest in the nuances of communication, having been an American Sign Language Interpreter for nine years. She has been a senior consultant for the last six years and is currently a four-time Tableau Zen Master. Her work incorporates human-centric dashboard design, an anthropological take on design, ethics, and language. Prior to consulting, Bridget managed an analytics department and has experience in training, HR, managing, and sales support.

Vidya Setlur is a principal research scientist and works at Tableau Software. Prior to joining Tableau, she worked as a principal research scientist at the Nokia Research Center for 7 years. She earned her doctorate in 2005 at Northwestern University. Her area of expertise is in natural language processing and computer graphics. The goal of her work is to develop new computer algorithms and user interfaces that enhance visual communication and understanding of the semantics of the underlying data. Her research combines concepts and methods from information retrieval, human perception, and cognitive science to help users effectively interact with devices and information in their environment. Since joining Tableau Research in 2012, Vidya has worked on various projects and prototypes including exploring analytical conversation using principles of language pragmatics that led to Tableau’s first natural language feature, Ask Data.

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