A K Peters/CRC Press
296 pages | 56 Color Illus. | 14 B/W Illus.
This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.
Trumpets please! This lucidly written report on data-driven storytelling lays out the compelling benefits and substantial challenges of this potent journalistic innovation. The strong team of authors offer fresh thinking and thoughtful guidance on exploration, explanation, engagement, ethics, and evaluation. Packed with examples for practitioners and references for researchers, this book opens up fresh possibilities that extend information visualization into decision-making, policy-shifting, and mind-changing applications.
-Ben Shneiderman, University of Maryland
Data-Driven Storytelling presents an accessible and informative introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, Data-Driven Storytelling offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners. The newest addition to the simply outstanding CRC Press 'A K Peters Visualization Series', Data-Driven Storytelling is unreservedly recommended for professional, corporate, college, and university library Computer Science & Engineering collections and supplemental studies reading lists.
-Midwest Book Review, May 2018
Data-Driven Storytelling promotes an efficient way of data-driven storytelling in professionalism and its profound implications. This approach involves visualizations, explorations, explanations, curated visuals, narrative design patterns, process from analysis to communication, impressing the audience, ethical guidelines and evaluation methods on successful the data driven storytelling.
-Ramalingam Shanmugam, Journal of Statistical Computation and Simulation
Chapter 1. Introduction
Nathalie Henry Riche, Christophe Hurter, Nicholas Diakopoulos, Sheelagh Carpendale
Chapter 2. From Cognitive to Design Principles
Chapter 3. Exploration and Explanation in Data-Driven Storytelling
Alice Thudt, Theresia Gschwandtner, Jagoda Walny, Jason Dykes, and John Stasko
Chapter 4. Data-Driven Storytelling Techniques: Analysis of a Curated Collection of Visual Stories
Charles D. Stolper, Bongshin Lee, Nathalie Henry Riche, and John Stasko
Chapter 5. Narrative Design Patterns for Data-Driven Storytelling
Benjamin Bach, Moritz Stefaner, Jeremy Boy, Steven Drucker, Lyn Bartram, Jo Wood, Paolo Ciuccarelli, Yuri Engelhardt, Ulrike Koeppen, Barbara Tversky
Chapter 6. Watches to Augmented Reality Devices and Gadgets for Data-Driven Storytelling
Bongshin Lee, Tim Dwyer, Dominikus Baur, Xaquín Gonzalez Veira
Chapter 7. From Analysis to Communication Supporting the Lifecycle of a Story
Fanny Chevalier, Melanie Tory, Bongshin Lee, Jarke van Wijk, Giuseppe Santucci, Marian Dörk, Jessica Hullman
Chapter 8. Organizing the Work of Data-Driven Visual Storytelling
Christina Elmer, Jonathan Schwabish, Benjamin Wiederkehr
Chapter 9. Communicating Data to an Audience
Steven Drucker, Samuel Huron, Robert Kosara, Jonathan Schwabish, Nicholas Diakopoulos
Chapter 10. Ethics in Data-Driven Visual Storytelling
Chapter 11. Evaluating Data-Driven Stories & Storytelling Tools
Fereshteh Amini, Matthew Brehmer, Gordon Bolduan, Christina Elmer, Benjamin Wiederkehr