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    1. Data och IT
    2. Databaser

    Visual Analytics Fundamentals

    Creating Compelling Data Narratives with Tableau

    AvLindy Ryan

    Häftad, Engelska, 2024

    Del i serien Addison-Wesley Data & Analytics Series

    355 kr

    Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt över 249 kr.

    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

    Utforska kategorier

    • Databaser inom Data och IT
    • Grafik och bildbehandling inom Data och IT

    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