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    Effective Data Visualization

    The Right Chart for the Right Data

    AvStephanie Evergreen

    Häftad, Engelska, 2019

    866 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    NOW IN FULL COLOR!

    Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. 

    Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards.

    New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!

    Produktinformation

    • Utgivningsdatum:2019-05-27
    • Mått:187 x 231 x 16 mm
    • Vikt:610 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:352
    • Upplaga:2
    • Förlag:SAGE Publications
    • ISBN:9781544350882

    Utforska kategorier

    • Sociologi inom Samhälle och politik
    • Affärsförhandlingar inom Ekonomi och Ledarskap

    Mer om författaren

    Dr. Stephanie D. H. Evergreen is a sought-after speaker, designer, and researcher. She is best known for bringing a research-based approach to helping others better communicate their work through more effective graphs, slides, and reports. She holds a PhD from Western Michigan University in interdisciplinary research, which included a dissertation on the extent of graphic design use in written data reporting. Dr. Evergreen has trained audiences worldwide through keynote presentations and workshops for clients, such as Verizon, Head Start, American Institutes for Research, Brookings Institute, the Ad Council, Boys and Girls Club of America, and the United Nations. She led the first known attempt to revamp the quality of presentations for an entire association: the Potent Presentations Initiative for the American Evaluation Association (AEA). She is the 2015 recipient of the AEA’s Marcia Guttentag Promising New Evaluator Award, which recognizes early notable and substantial accomplishments in the field. Dr. Evergreen is coeditor and coauthor of two issues of New Directions for Evaluation on data visualization. She writes a popular blog on data presentation at StephanieEvergreen.com. Her book, Presenting Data Effectively: Communicating Your Findings for Maximum Impact, was published by Sage in Fall 2013 and was listed as number one in Social Science Research on Amazon in the United States and United Kingdom for several weeks.

    Recensioner i media

    Excellent introductory text. Detailed with good worked examples

    Innehållsförteckning

    • PREFACEACKNOWLEDGMENTSABOUT THE AUTHORChapter 1. Our Backbone: Why We VisualizeWhy We VisualizeWhen Visualization Is HarmfulWhich Chart Type Is Best?Tell a Story With DataHow to Use This BookExercisesResourcesReferencesChapter 2. When a Single Number Is Important: Showing Mean, Frequency, and Measures of VariabilityWhat Stories Can Be Told With a Single Number?How Can I Visualize a Single Number?How Can I Show Measures of Variability?ExercisesResourcesReferencesChapter 3. How Two or More Numbers Are Alike or Different: Visualizing ComparisonsWhat Stories Can Be Told About How Two or More Numbers Are Alike or Different?How Can I Visualize How Two or More Numbers Are Alike or Different?ExercisesResourcesReferencesChapter 4. How We Are Better or Worse Than a Benchmark: Displaying Relative PerformanceWhat Stories Can Be Told About How We Are Better or Worse Than a Benchmark?How Can I Visualize How We Are Better or Worse Than a Benchmark?ExercisesResourcesReferencesChapter 5. What the Survey Says: Showing Likert, Ranking, Check-All-That-Apply, and MoreWhat Stories Can Be Told About What the Survey Says?How Can I Visualize What the Survey Says?RankingBranchingVisualizing Not Applicable or Missing DataExercisesResourcesReferencesChapter 6. When There Are Parts of a Whole: Visualizing Beyond the Pie ChartWhat Stories Can Be Told When There Are Parts of a Whole?How Can I Visualize the Parts of a Whole?ExercisesResourcesReferencesChapter 7. How This Thing Changes When That Thing Does: Communicating Correlation and RegressionWhat Stories Can Be Told About How This Thing Changes When That Thing Does?How Can I Visualize How This Thing Changes When That Thing Does?ExercisesResourcesReferencesChapter 8. When the Words Have the Meaning: Visualizing Qualitative DataWhat Stories Can Be Told When the Words Have the Meaning?How Can I Visualize When the Words Have the Meaning?Pure Qualitative: Highlight a WordPure Qualitative: Thematic AnalysisSome Quantification: Highlight a WordSome Quantification: Thematic AnalysisExercisesResourcesReferencesChapter 9. How Things Changed Over Time: Depicting TrendsWhat Stories Can Be Told About How Things Changed Over Time?How Can I Visualize How Things Changed Over Time?ExercisesResourcesReferencesChapter 10. Reporting Out: Sharing Your Data With the WorldStatic VisualsInteractive DashboardsExercisesResourcesReferencesChapter 11. It’s About More Than the ButtonsDot Plots Generate Healthcare PioneersClearly Labeled Line Graphs Streamline Decisions at a Fortune 500Diverging Stacked Bars Make for Community Leaders in the MidwestIcons Support Informed PolicymakingBuilding a Culture of Effective Data VisualizationExercisesResourcesReferencesINDEX