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

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

Autorzy
Wydawnictwo John Wiley & Sons Inc
Data wydania 04/12/2018
Liczba stron 496
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
Język angielski
ISBN 9781119510772
Kategorie Komunikacja w biznesie i prezentacje
182.70 PLN (z VAT)
$41.10 / €39.17 / £34.00 /
Produkt na zamówienie
Dostawa 3-4 tygodnie
Ilość
Do schowka

Opis książki

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 communication

Think beyond the data and consider audience, stakeholders, and message

Design your graphs to be intuitive and more communicative






Assess the impact of layout, color, font, chart type, and other design choices



Creating 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.

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

Spis treści

Foreword ix





Acknowledgments xi





About the Authors xv





Part I





Introduction 3





What Is Makeover Monday? 3





How Did Makeover Monday Start? 4





The Community Project 7





Pillars of Makeover Monday 16





How to Use this book 29





Part II





Chapter 1 Habits of a Good Data Analyst 33





Approaching Unfamiliar Data 33





Analysis versus Visualization 44





Take Your Time 47





Build Context Through Additional Research 48





Find Insights 50





Communicate Clearly 54





Ask Questions 57





Summary 61





Chapter 2 Data Quality and Accuracy 63





Working with Incomplete Data 64





Overcounting Data 74





Sense-Checking Data 76





Is the Data Aggregable? 80





Substantiating Claims with Data 88





Summary 90





Chapter 3 Know and Understand the Data 91





Using Appropriate Aggregations 92





Explaining Metrics 109





Identifying and Correcting Mistakes 115





Time Series Analysis 119





Summary 133





Chapter 4 Keep It Simple 135





What Is Simplicity? 135





Simplicity in Design 136





Simplicity in Analysis 150





Simplicity in Storytelling 153





Summary 157





Chapter 5 Attention to Detail 159





Typos 161





Punctuation 162





Formatting 162





Crediting Images and Data Sources 182





Summary 183





Chapter 6 Designing for the Audience 185





Creating an Effective Design 186





Designing for Mobile 196





Using Visual Cues for Additional Information 207





Using Icons and Shapes 208





Storytelling 211





Reviewing Your Work to Improve Its Quality 216





Summary 218





Chapter 7 Trying New Things 219





Developing a Sharing Culture 221





Summary 235





Chapter 8 Iterate to Improve 237





Why Iterate? 237





Examples of Effective Iteration 241





Giving and Receiving Feedback 256





Summary 263





Chapter 9 Effective Use of Color 265





The Significance of Color in Data Visualization 266





Using Color to Evoke Emotions 267





Using Color to Create Associations 273





Using Color to Highlight 281





Best Practices for Using Color 283





Using Background Colors 287





Using Text as a Color Legend 291





Summary 294





Chapter 10 Choosing the Right Chart Type 295





Area Charts 296





Stacked Bar Charts 299





Diverging Bar Charts 304





Filled Maps 309





Donut and Pie Charts 318





Packed Bubble Charts 325





Treemaps 331





Slopegraphs 338





Connected Scatterplots 345





Circular Histograms 353





Radial Bar Charts 360





Resources 366





Summary 366





Chapter 11 Effective Use of Text 367





Effective Titles and Subtitles 367





What Is Your Key Message? 377





Instructions and Explanations 386





Summary 398





Chapter 12 Using Context to Inform 399





The Importance of Context 400





Using Simple Metrics 402





Methods for Communicating Context 418





Summary 428





Part III





The Community 431





Long-Term Contributors 431





Educators 446





Employers 446





Organizations 447





Nonprofits 448





Social Impact 448





Makeover Monday Live Events 449





Makeover Monday Enterprise Edition 450





Source Lines 453





Index 457

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