Functional Aesthetics for Data Visualization

Vidya Setlur

ISBN 10: 1119810086 / ISBN 13: 9781119810087

Published by John Wiley & Sons Inc, 2022

About this Item

2022. 1st Edition. Paperback. . . . . .

Seller Inventory # V9781119810087

Bibliographic Details

• Title: Functional Aesthetics for Data Visualization
• Publisher: John Wiley & Sons Inc
• Publication Date: 2022
• Language: English
• ISBN 10: 1119810086
• ISBN 13: 9781119810087
• Binding: Soft cover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

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 Author

VIDYA SETLUR, PhD, is the head of Tableau Research. She earned her doctorate in Computer Graphics in 2005 at Northwestern University. Her expertise is in natural language processing and computer graphics, and she seeks to develop new algorithms and user interfaces that enhance communication and understanding.

BRIDGET COGLEY is the Chief Visualization Officer at Versalytix and is a Tableau Hall of Fame Visionary. As an American Sign Language interpreter turned analyst, her practice incorporates semantics to draw meaning in her designs. She focuses on innovative use cases in data visualization.