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

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John Wiley & Sons, 2018/10/09 - 496 ページ

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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目次

Introduction
3
Pillars of Makeover Monday
16
How to Use this book
29
Data Quality and Accuracy 6333
63
Know and Understand the Data
91
Keep It Simple
135
Attention to Detail
159
Designing for the Audience
185
Trying New Things
219
Iterate to Improve
237
Effective Use of Color
265
Choosing the Right Chart Type
295
Effective Use of Text
367
Using Context to Inform
399
Part III
429
Source Lines
453

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著者について (2018)

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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