Effective Data Storytelling : How to Drive Change with Data, Narrative and Visuals.
- 1st ed.
- 1 online resource (339 pages)
Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1 Introduction to Driving Change through Insight -- Why Change Is Important -- Everyone Becomes an Analyst -- Data Literacy Is Essential in Today's Data Economy -- What Is an Insight? -- Effective Communication Turns Insights into Actions -- Data-driven Change Isn't Easy -- Strive to Communicate, Not Just Inform -- Telling the Story of Your Data -- References -- Chapter 2 Why Tell Stories with Data? -- Humans Are Storytelling Creatures -- Stories Beat Statistics -- Three Essential Elements of Data Stories -- Driving Action with Data Stories -- Why Your Insights Need Narrative and Visuals -- References -- Chapter 3 The Psychology of Data Storytelling -- Most Decisions Are Not Based on Logic -- How We React to Facts -- How We React to Stories -- Data Stories Bridge Logic and Emotion -- What Could Semmelweis Have Done Differently? -- References -- Chapter 4 The Anatomy of a Data Story -- The Six Essential Elements of a Data Story -- Element 1: Data Foundation -- Element 2: Main Point -- Element 3: Explanatory Focus -- Element 4: Linear Sequence -- Element 5: Dramatic Elements -- Element 6: Visual Anchors -- Data Stories Come in All Shapes and Sizes -- Every Data Story Needs a Storyteller -- Know Your Audience before Telling Your Story -- When It Makes Sense to Craft Data Stories and When It Doesn't -- References -- Chapter 5 Data: The Foundation of Your Data Story -- Examine the Building Blocks of Your Data Stories -- Relevance -- Trustworthiness -- Every Data Story Needs a Central Insight -- Do You Have an Actionable Insight? -- The Analysis Process: Exploration to Explanation -- Data Forgery #1: The Data Cut -- Data Forgery #2: The Data Cameo -- Data Forgery #3: The Data Decoration -- Analyzing and Communicating Data Demands Discipline. Confirmation Bias -- Survivorship Bias -- Curse of Knowledge -- Correlation Fallacy -- Texas Sharpshooter Fallacy -- Hasty Generalization Fallacy -- When Too Much of a Good Thing Is Bad -- References -- Chapter 6 Narrative: The Structure of Your Data Story -- Defining a Narrative Model for Data Stories -- Fleshing Out Your Narrative with Story Points -- Storyboarding Your Data Story -- Step 1: Identify Your Aha Moment -- Step 2: Find Your Beginning (the Hook and Setting) -- Step 3: Select Your Rising Insights -- Step 4: Empower Your Audience to Act -- When They Want Just the Facts -- Uncovering the Heroes in Your Data Story -- How Conflict Amplifies the Impact of Your Data Narrative -- Make Your Ideas More Digestible with Analogies -- References -- Chapter 7 Visuals (Part 1): Setting the Scenes of Your Data Story -- Human Perception and Our Innate Pattern-seeking Abilities -- Facilitating Meaningful Comparisons with Visuals -- Principle #1: Visualize the Right Data -- Principle #2: Choose the Right Visualizations -- Familiarity versus Novelty -- Principle #3: Calibrate the Visuals to Your Message -- End of Part I: The Scenes Are Set -- References -- Chapter 8 Visuals (Part 2): Polishing the Scenes of Your Data Story -- Principle #4: Remove Unnecessary Noise -- Principle #5: Focus Attention on What's Important -- Color Contrast -- Text -- Typography -- Layering -- Principle #6: Make Your Data Approachable and Engaging -- Labeling -- Reference Lines -- Formatting -- Convention Adherence -- Imagery -- Real-world Examples -- Principle #7: Instill Trust in Your Numbers -- A Principled Approach to Visual Storytelling -- References -- Chapter 9 Crafting Your Own Data Story -- Learning from a Master Data Storyteller -- 0:34-Key Tactics: Labeling, Annotation, and Axis Scaling. 1:00-Key Tactics: Time Period, Label Sizing, Categories, Chart Elements (Bubble Size) -- 1:18-Key Tactics: Reference Line, Selective Labeling, Highlighting -- 1:30-Key Tactics: Animation, Additive Context -- 2:22-Key Tactics: Personalization, Selective Labeling, Highlighting -- 3:30-Key Tactics: Zoom, Selective Labeling, Drill-Down, Explicit Comparisons -- 4:00-Key Tactics: Summary Animation, Trendline -- Deconstructing a Data Story -- Act I: The Setting -- Act II: The Build-up -- Act III: The Solution -- NCLB Data Story: Behind the Scenes -- Act I Review -- Act II Review -- Act III Review -- Everyday Data Stories Come in All Shapes, Sizes, and Flavors -- Based on a True Story #1: An Editor Must Retain a Skilled Writer -- Based on a True Story #2: A Manufacturer's Need for a New Pricing Strategy -- Data Storyteller: A Guide and a Change Agent -- References -- About the Author -- About the Website -- Index -- EULA.
9781119615736
Business communication. Information visualization. Storytelling.