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Setlur Vidya - Functional Aesthetics for Data Visualization

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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.

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Table of Contents List of Tables Chapter 5 Chapter 7 Chapter 16 List of - photo 1
Table of Contents
List of Tables
  1. Chapter 5
  2. Chapter 7
  3. Chapter 16
List of Illustrations
  1. Introduction
  2. Chapter 1
  3. Chapter 2
  4. Chapter 3
  5. Chapter 4
  6. Chapter 5
  7. Chapter 6
  8. Chapter 7
  9. Chapter 8
  10. Chapter 9
  11. Chapter 10
  12. Chapter 11
  13. Chapter 12
  14. Chapter 13
  15. Chapter 14
  16. Chapter 15
  17. Chapter 16
  18. Chapter 17
Guide
Pages
Functional Aesthetics
for data visualization

Vidya Setlur

Bridget Cogley

Copyright 2022 by Vidya Setlur and Bridget Cogley All rights reserved - photo 2

Copyright 2022 by Vidya Setlur and Bridget Cogley. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada and the United Kingdom.

978-1-119-81008-7
978-1-119-81010-0 (ebk.)
978-1-119-81007-0 (ebk.)

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at www.wiley.com/go/permission.

Limit of Liability/Disclaimer of Warranty: The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Website is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or Website may provide or recommendations it may make. Further, readers should be aware the Internet Websites listed in this work may have changed or disappeared between when this work was written and when it is read.

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Library of Congress Control Number: 2022930202

Trademarks: WILEY and the Wiley logo are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates, in the United States and other countries, and may not be used without written permission. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book.

Cover images: The assets for the book cover are provided by Vidya Setlur and Bridget Cogley.
Cover design: Wiley

In memory of Kelly Martin, who knew true beauty and laughter.

(VS)
To Amodmy support and life partner
and
Naren and Narsimwhose unconditional love constantly helps me be a good mother and a better person

(BC)
To Mikethe ultimate dancer, driver, and super-spouse
and
Dominicwho gives me new eyes to the world and the freedom to play

Acknowledgments

This book would not have come together if it were not for the support and encouragement of so many people. We both would like to thank Patrick McCormick, Brandi Beals, and Madison and Milwaukee Tableau User Groups (TUGs) for your impeccable timing and brilliance for putting us in the right place at the right time. Without all of you and a famous blue Fiat, this book would never have happened.

We are also grateful to so many individuals who have helped with this project: October 22, 2020, to be precise, is when our book journey started after Jim Minatel, the associate publisher at Wiley, responded to our book proposal. We thank him for believing in us and being a good partner during the book-writing process. We'd like to thank our project manager, Brad Jones, for patiently doing all the content wrangling, keeping us honest with deadlines, and gently hustling us with his positivity. Also, thanks to Pete Gaughan, Barath Kumar Rajasekaran, and Melissa Burlock for helping with operations to move the content along to finish. Jock Mackinlay, our technical editor, has been an awesome sounding board, applying his vast experience in both academia and industry to enrich so many parts of this book. We thank Pat Hanrahan for graciously writing the foreword and inspiring us to think of how semantics with visual representation can help make sense of the world.

Vidya would like to thank her mother, Jayashree Raghavan, for basically taking over the kitchen during the writing process, texting her lunch and dinner menus so that she could emerge from her she-cave to eat. Her father-in-law, Rangaswamy Setlur, has been her personal cheerleader all these years, reading the manuscripts and providing kind notes of encouragement. She owes a great amount of gratitude to all her research colleagues for their wisdom and intellect and to her friends and neighbors, who have generously shared their joy and pride during the writing process. Finally, the long days just felt a little sweeter with Milo, her pandemic pup, with his playfulness and love.

Bridget would like to thank Mike Cogley for bringing tea and driving the Fiat where this all started and Dominic Cogley for the laughs and inventions while writing this book. The practitioner sections are stronger due to the extra eyes from Allen Hillery, Michelle Frayman, and Sarah Pallett. Bridget would be remiss if she didn't thank her mother, Sheree McKay, for teaching her to have a keen eye and to put things in the right place. Friends and family lent their support, even if it made no sense to them. The patience is much appreciated. Colleagues past and present made this process easier, providing much-needed motivation and encouragement. No book acknowledgment is complete without celebrating the cats that keep the laughs and fuzz coming: Fluffles, Minx, and Jaxx.

And we thank you, the reader, for giving these ideas a space to have this conversation.

About the Authors

Vidya Setlur is the Head of Research at Tableau Software. Prior to joining Tableau, she worked as a principal research scientist at the Nokia Research Center for seven 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. Since joining Tableau Research in 2012, Vidya has worked on various projects and prototypes ranging from semantic icon encodings to chatbot interfaces. She has also explored analytical conversation using principles of language pragmatics that led to Tableau's first natural language feature, Ask Data.

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