Visual Analytics Fundamentals

Creating Compelling Data Narratives with Tableau

AvLindy Ryan

Häftad, Engelska, 2024

Del i serien Addison-Wesley Data & Analytics Series

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Beskrivning

Master the Fundamentals of Modern Visual Analytics--and Craft Compelling Visual Narratives in Tableau!

Do you need to persuade or inform people? Do you have data? Then you need to master visual analytics and visual storytelling. Today, the #1 tool for telling visual stories with data is Tableau, and demand for Tableau skills is soaring. In Visual Analytics Fundamentals, renowned visual storyteller and analytics professor Lindy Ryan introduces all the fundamental visual analytics knowledge, cognitive and perceptual concepts, and hands-on Tableau techniques you'll need.

Ryan puts core analytics and visual concepts upfront, so you'll always know exactly what you're trying to accomplish and can apply this knowledge with any tool. Building on this foundation, she presents classroom-proven guided exercises for translating ideas into reality with Tableau 2022. You'll learn how to organize data and structure analysis with stories in mind, embrace exploration and visual discovery, and articulate your findings with rich data, well-curated visualizations, and skillfully crafted narrative frameworks. Ryan's insider tips take you far beyond the basics--and you'll rely on her expert checklists for years to come.

Communicate more powerfully by applying scientific knowledge of the human brain
Get started with the Tableau platform and Tableau Desktop 2022
Connect data and quickly prepare it for analysis
Ask questions that help you keep data firmly in context
Choose the right charts, graphs, and maps for each project--and avoid the wrong ones
Craft storyboards that reflect your message and audience
Direct attention to what matters most
Build data dashboards that guide people towards meaningful outcomes
Master advanced visualizations, including timelines, Likert scales, and lollipop charts

This book has only one prerequisite: your desire to communicate insights from data in ways that are memorable and actionable. It's for executives and professionals sharing important results, students writing reports or presentations, teachers cultivating data literacy, journalists making sense of complex trends. . . . practically everyone! Don't even have Tableau? Download your free trial of Tableau Desktop and let's get started!

Produktinformation

Utgivningsdatum:2024-04-07
Mått:182 x 238 x 24 mm
Vikt:500 g
Format:Häftad
Språk:Engelska
Serie:Addison-Wesley Data & Analytics Series
Antal sidor:288
Upplaga:1
Förlag:Pearson Education
ISBN:9780137956821

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Mer om författaren

Lindy Ryan teaches visual analytics and data visualization in Rutgers' Professional Science Master's program. As Research Director for Radiant Advisors, she led work in data discovery, enablement, visualization, and visual analytics, and developed Radiant's Data Visualization Competency CenterTM methodology. Her books include The Visual Imperative and Visual Data Storytelling with Tableau (Addison-Wesley, 2018). A published novelist, screenwriter, and short-film director, her creative work has won numerous awards.

Innehållsförteckning

Preface xivAcknowledgments xxviAbout the Author xxvii 1. Welcome to Visual Analytics 1A Visual Revolution 2The Evolution from Data Visualization to Visual Data Storytelling 7A Brief Look at the State of the Industry 9From Visual to Story: Bridging the Gap 11Summary 16 2. The Power of Visual Analytics 17The Science of Storytelling 18The Brain on Stories 19The Human on Stories 21The Power of Stories 23The Classic Visualization Example 24Using Small Personal Data for Big Stories 26The Two-or-Four Season Debate 30Napoleon's March 32Stories Outside of the Box 34Summary 35 3. Getting Started with Tableau 37Using Tableau 38Why Tableau? 39The Tableau Product Portfolio 42Tableau Desktop 43Tableau Server 43Tableau Cloud 44Tableau Prep 44Tableau Public 44Tableau Reader and Tableau Viewer 44Getting Started 45Installing Tableau Desktop 46Connecting to Data 46Connecting to Table 48Live Versus Extract 51Connecting to Multiple Tables with Relationships and Joins 52Adding and Replacing Data Sources 55Basic Data Prep with Data Interpreter 57Navigating the Tableau Interface 58Menus and Toolbar 59Data Pane 60Shelves and Cards 60Legends 60Understanding Dimensions and Measures 61Dimensions 61Measures 61Continuous and Discrete 61Summary 62 4. Keeping Visual Analytics in Context 63Context in Action 65Harry Potter: Hero or Menace? 66Ensuring Relevant Context 67Exploratory Versus Explanatory Analysis 69Structuring Visual Analytic Stories 73Story Plot 74Story Genre 75Audience Analysis for Storytelling 76Who 77What 77Why 77How 78Summary 80 5. Fundamental Data Visualizations 81The Bar Chart 83Tableau How-To: Bar Chart 84The Line Chart 88Tableau How-To: Line Chart 91Pie and Doughnut Charts 91Tableau How-To: Pie and Doughnut Charts 93The Scatter Plot 98Tableau How-To: Scatter Plots 98The Packed Bubble Chart 102Tableau How-To: Packed Bubble Charts 103The Tree Map 105Tableau How-To: Tree Maps 106The Heat Map 108Tableau How-To: Heat Maps 109Summary 112 6. Fundamental Maps 113Connecting to Geographic Data 116Assigning Geographic Roles 117Creating Geographic Hierarchies 120Proportional Symbol Maps 123Choropleth Map 127 7. Design Tips for Curating Visual Analytics 133Visual Design Building Blocks 136Color 138Sequential Color 139Diverging Color 140Categorical Color 143Color Effects 145Opacity 146Mark Borders 147Mark Halos 147Pre-attentive Colors 148Important Color Considerations 150The Truth About Red and Green 151Lines 153Formatting Grid Lines, Zero Lines, and Drop Lines 156Formatting Borders 160Formatting, Shading, and Banding 163Shapes 168Shape Marks Card 168Custom Shapes 169Summary 173 8. Structuring Analytics for Storytelling: Prep, Dashboards, and Stories 175Basic Data Prep in Tableau: Data Interpreter 176Data Interpreter in Action 177Handling Nulls in Tableau 179Pivoting Data from Wide to Tall 182A Note on Preparing Survey Data for Visual Analysis 186Storyboarding Your Visual Analytics 188Understanding Stories in Tableau 189The Storyboarding Process 198Summary 200 9. Beyond Fundamentals: Advanced Visualizations 201Timelines 202Bar-in-Bar Charts 210Likert-Scale Visualizations 213A 100% Stacked Bar Chart 214Divergent Stacked Bar Chart 216Lollipop Charts 226Labeled Lollipops 230Word Clouds 231Summary 234 10. Closing Thoughts 235Five Steps to Visual Data Storytelling 236Step 1. Find Data That Supports Your Story 236Step 2. Layer Information for Understanding 237Step 3. Design to Reveal 237Step 4. Beware the False Reveal 238Step 5. Tell It Fast 238The Important Role of Feedback 238Ongoing Learning 240Teach Yourself: External Resources 240Companion Materials to This Text 242 Appendix A. Tableau Services 243 Index 247