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    1. Ekonomi och Ledarskap
    2. Företagsekonomi
    3. Affärsförhandlingar

    #MakeoverMonday

    Improving How We Visualize and Analyze Data, One Chart at a Time

    AvAndy Kriebel,Eva Murray

    Häftad, Engelska, 2018

    309 kr

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

    Beskrivning

    Explore different perspectives and approaches to create more effective visualizations#MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief.This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact. Explore the many approaches to visual data communicationThink beyond the data and consider audience, stakeholders, and messageDesign your graphs to be intuitive and more communicative Assess the impact of layout, color, font, chart type, and other design choicesCreating visual representation of complex datasets is tricky. There’s the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying—but there is also the designer’s impetus to showcase a command of the complexity and create multidimensional visualizations that “look cool.” #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires.

    Produktinformation

    • Utgivningsdatum:2018-12-04
    • Mått:185 x 234 x 31 mm
    • Vikt:1 134 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:496
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781119510772

    Utforska kategorier

    • Affärsförhandlingar inom Ekonomi och Ledarskap

    Mer om författaren

    ANDY KRIEBEL is Head Coach at The Information Lab Data School and a member of the Tableau Zen Master Hall of Fame. The Makeover Monday series originated from his blog at vizwiz.com, where he shares data visualization tips, tricks, and best practices.EVA MURRAY is the Head of Business Intelligence at Exasol, a Tableau Ambassador, and a 2018 Tableau Zen Master. She has co-hosted Makeover Monday since 2017, and blogs about Tableau, travel, and triathlon at trimydata.com.

    Innehållsförteckning

    • Foreword ixAcknowledgments xiAbout the Authors xvPart I Introduction 3What Is Makeover Monday? 3How Did Makeover Monday Start? 4The Community Project 7Pillars of Makeover Monday 16How to Use this book 29Part II Chapter 1 Habits of a Good Data Analyst 33Approaching Unfamiliar Data 33Analysis versus Visualization 44Take Your Time 47Build Context Through Additional Research 48Find Insights 50Communicate Clearly 54Ask Questions 57Summary 61Chapter 2 Data Quality and Accuracy 63Working with Incomplete Data 64Overcounting Data 74Sense-Checking Data 76Is the Data Aggregable? 80Substantiating Claims with Data 88Summary 90Chapter 3 Know and Understand the Data 91Using Appropriate Aggregations 92Explaining Metrics 109Identifying and Correcting Mistakes 115Time Series Analysis 119Summary 133Chapter 4 Keep It Simple 135What Is Simplicity? 135Simplicity in Design 136Simplicity in Analysis 150Simplicity in Storytelling 153Summary 157Chapter 5 Attention to Detail 159Typos 161Punctuation 162Formatting 162Crediting Images and Data Sources 182Summary 183Chapter 6 Designing for the Audience 185Creating an Effective Design 186Designing for Mobile 196Using Visual Cues for Additional Information 207Using Icons and Shapes 208Storytelling 211Reviewing Your Work to Improve Its Quality 216Summary 218Chapter 7 Trying New Things 219Developing a Sharing Culture 221Summary 235Chapter 8 Iterate to Improve 237Why Iterate? 237Examples of Effective Iteration 241Giving and Receiving Feedback 256Summary 263Chapter 9 Effective Use of Color 265The Significance of Color in Data Visualization 266Using Color to Evoke Emotions 267Using Color to Create Associations 273Using Color to Highlight 281Best Practices for Using Color 283Using Background Colors 287Using Text as a Color Legend 291Summary 294Chapter 10 Choosing the Right Chart Type 295Area Charts 296Stacked Bar Charts 299Diverging Bar Charts 304Filled Maps 309Donut and Pie Charts 318Packed Bubble Charts 325Treemaps 331Slopegraphs 338Connected Scatterplots 345Circular Histograms 353Radial Bar Charts 360Resources 366Summary 366Chapter 11 Effective Use of Text 367Effective Titles and Subtitles 367What Is Your Key Message? 377Instructions and Explanations 386Summary 398Chapter 12 Using Context to Inform 399The Importance of Context 400Using Simple Metrics 402Methods for Communicating Context 418Summary 428Part IIIThe Community 431Long-Term Contributors 431Educators 446Employers 446Organizations 447Nonprofits 448Social Impact 448Makeover Monday Live Events 449Makeover Monday Enterprise Edition 450Source Lines 453Index 457