book

Visual Data Storytelling with Tableau, First edition

by Lindy Ryan

May 2018

Beginner

272 pages

8h 16m

English

Addison-Wesley Professional

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A Visual RevolutionFrom Visualization to Visual Data Storytelling: An EvolutionFrom Visual to Story: Bridging the GapSummary
The Science of StorytellingThe Brain on StoriesThe Human on StoriesThe Power of StoriesThe Classic Visualization ExampleUsing Small Personal Data for Big StoriesThe Two-or-Four Season DebateNapoleon’s MarchStories Outside of the BoxSummary
Using TableauWhy Tableau?The Tableau Product PortfolioTableau ServerTableau DesktopTableau OnlineTableau PublicGetting StartedConnecting to DataConnecting to TablesLive Versus ExtractConnecting to Multiple Tables with JoinsBasic Data Prep with Data InterpreterNavigating the Tableau InterfaceMenus and ToolbarData WindowShelves and CardsLegendsUnderstanding Dimensions and MeasuresDimensionsMeasuresContinuous and DiscreteSummary
Context in ActionHarry Potter: Hero or Menace?Ensuring Relevant ContextExploratory versus Explanatory AnalysisStructuring StoriesStory PlotStory GenreAudience Analysis for StorytellingWhoWhatWhyHowSummary
The Bar ChartTableau How-To: Bar ChartThe Line ChartTableau How-To: Line ChartThe Pie and Donut ChartsTableau How-To: Pie and Donut ChartsThe Scatter PlotTableau How-To: Scatter PlotsThe Packed Bubble ChartTableau How-To: Packed Bubble ChartsThe TreemapTableau How-To: TreemapsThe Heat MapTableau How-To: Heat MapsMapsConnecting to Geographic DataAssigning Geographic RolesCreating Geographic HierarchiesProportional Symbol MapsChoropleth MapSummary
Visual Design Building BlocksColorStepped ColorReversed ColorColor EffectsOpacityMark BordersMark HalosThe Truth about Red and GreenLinesFormatting Grid Lines, Zero Lines, and Drop LinesFormatting BordersFormatting, Shading, and BandingShapesShape Marks CardCustom ShapesSummary
Basic Data Prep in Tableau: Data InterpreterData Interpreter in ActionHandling Nulls in TableauCleaning Messy Survey Data in ExcelStep 1: Surface CleaningStep 2: Creating a Numeric CopyStep 3: Creating the Meta Helper FilePivoting Data from Wide to TallReshaping Survey Data with Tableau 10Step 1: Creating ExtractsStep 2: Joining Data SourcesSummary
Understanding Stories in TableauIndividual Visualizations (Sheets)DashboardsStory PointsThe Storyboarding ProcessPlanning Your Story’s PurposeStoryboarding Your Data StoryBuilding a StoryMaking Meta MeaningfulVisualizing Survey DemographicsAct One: Demographic Dashboard and Key QuestionAct Two: Questioning Character AggressionAct Three: The RevealSummary
TimelinesBar-in-Bar ChartsLikert Visualizations100% Stacked Bar ChartDivergent Stacked Bar ChartLollipop ChartsLabeled LollipopsWord CloudsSummary
Five Steps to Visual Data StorytellingStep 1. Find Data That Supports Your StoryStep 2. Layer Information for UnderstandingStep 3. Design to RevealStep 4. Beware the False RevealStep 5. Tell It FastThe Important Role of FeedbackOngoing LearningTeach Yourself: External ResourcesCompanion Materials to This Text

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ABOUT THE AUTHOR

A photograph of the author of the book, Lindy Ryan.

Lindy Ryan is passionate about telling stories with data. She specializes in translating raw data into insightful stories through carefully curated visuals and engaging narrative frameworks.

Before joining academia, Lindy was the Research Director for research and advisory firm Radiant Advisors from 2011 through 2016. In this role Lindy led Radiant’s analyst activities in the confluence of data discovery, visualization, and visual analytics. She also developed the methodology for the Data Visualization Competency Center (DVCC), a framework for helping data-driven organizations to effectively implement data visualization for enterprise-wide ...