From tracking down information to symbolising human experiences, this book is your guide to telling more effective, empathetic and evidence-based data stories.
Drawing on cross-disciplinary research and first-hand accounts of projects ranging from public health to housing justice, The Data Storytelling Workbook introduces key concepts, challenges and problem-solving strategies in the emerging field of data storytelling. Filled with practical exercises and activities, the workbook offers interactive training materials that can be used for teaching and professional development. By approaching both 'data' and 'storytelling' in a broad sense, the book combines theory and practice around real-world data storytelling scenarios, offering critical reflection alongside practical and creative solutions to challenges in the data storytelling process, from tracking down hard to find information, to the ethics of visualising difficult subjects like death and human rights.
Author(s): Anna Feigenbaum; Aria Alamalhodaei
Publisher: Routledge
Year: 2020
Language: English
Pages: ix+246
Cover
Half Title
Title Page
Copyright Page
Dedication
Acknowledgments
Table of Contents
Introduction
How We Came to Write this Workbook
The BU Civic Media Hub
Why Storytelling?
Becoming a Data Storyteller
Challenges to Data Storytelling Education
A Guide to Using this Workbook
Workbook Design
Works Cited and Further Reading
Spotlights
A Narrative Approach to Data Storytelling
A Holistic Approach to Data
Understanding Your Audience
Different Audiences, Different Data Stories
Audience Listening
What’s Narrative Got to Do with It?
Narrative in Data Storytelling
Types of Narrative
Data as Characters
All Data Has a Backstory
What is Conflict in Data Storytelling?
Details, Details
Works Cited and Further Reading
Spotlights
Activities
Navigating Data’s Unequal Terrain
The Growing Data Divide
How Open is Open Data?
Defining Big Data
Big Data Past and Futures
Counting the Uncounted
Data and Bias
Standpoints Matter
Data Discrimination
Works Cited and Further Reading
Spotlights
Activities
Visual Data Storytelling
Feminist Data Visualisation
Challenges for Data Visualisation
A Quick Guide to Structuring Your Data
Semiotics for Data Storytelling
Four Pillars for Data Storytelling
Chartjunk
Storytelling with Andy Kirk’s CHRT(S)
The Power of Trees
Narrative Networks
Tinkering with Timelines
Visualising Absence
Learning from Comics
Graphic Medicine
Graphic Social Science
Multisensory Data Storytelling
Works Cited and Further Reading
Spotlights
Activities
Data Storytelling with Maps
Making Maps that Matter
Storytelling with Maps
The Cartographic Gaze
The Problem with Maps as Representations
Participatory Maps
Counter-Mapping
Story Mapping
Seeing Cartographically
No Symbol is Neutral
Contested Coordinates
No Platform is Neutral
Mapping without Maps
Works Cited and Further Reading
Spotlights
Future-Proof Principles
The Four Cs
Act like the Data Storyteller You Want to Be
Works Cited and Further Reading
Index
