#MakeoverMonday

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

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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.
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Product details

  • Paperback | 496 pages
  • 188 x 234 x 25mm | 1,132g
  • New York, United States
  • English
  • 1. Auflage
  • 1119510775
  • 9781119510772
  • 73,364

Back cover copy

Praise for #MakeoverMonday

"We humans can't learn alone or only by studying rules and principles. We learn in collaboration -- copying and getting feedback from others -- and by practicing, to grasp how principles apply to the real world, and when it's appropriate to tweak them or even break them. This book, the product of the Makeover Monday collaborative initiative, exemplifies this understanding of how learning really works. If you've already read some classics in the literature about data visualization, the next step is to grab this book and peruse its many before-and-after examples. You'll love some, dislike others, and even loathe a few, but in the process of mulling over all them you'll become a better visualization designer." --Alberto Cairo, Knight Chair in Visual Journalism at the University of Miami, and author of The Truthful Art: Data, Charts, and Maps for Communication

"Visualizing data effectively is something you learn through practicing: making something, getting feedback, and iterating to refine and improve. The weekly #MakeoverMonday project has been a place for many people to do exactly that. With #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time, Andy and Eva have curated the thousands of visuals they've seen into a guide packed with lessons, tips, anecdotes, and examples. If you work with data, you'll appreciate the varied and creative approaches, learn mistakes to avoid, and be inspired to do your own practicing to take your data visualization game to the next level!" --Cole Nussbaumer Knaflic, author of storytelling with data

"#MakeoverMonday grew from a weekly blog series into a worldwide social data project, with some of the best talent in the data visualization community participating each week. This book compiles years of learning and hundreds of visualizations from that project into a practical guide that will prove essential for anyone working with data." --Jeffrey A. Shaffer, Co-author of The Big Book of Dashboards, Adjunct Professor teaching Data Visualization at the University of Cincinnati

"Real-word case studies? Captivating visualizations? Practical career tips? This book has it all. Phenomenal." --Kirill Eremenko, CEO, SuperDataScience
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Table of contents

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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About Andy Kriebel

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.
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