#Makeovermonday

Informationen zum Autor 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. Klappentext 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 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. Zusammenfassung 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 choicesCreating visual representation of complex datasets ...

List 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
 

Product details

• Authors: A Kriebel, Andrew Kriebel, Andy Kriebel, Andy Murray Kriebel, Eva Murray, Murray Eva
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 31.10.2018
• EAN: 9781119510772
• ISBN: 978-1-119-51077-2
• No. of pages: 496
• Dimensions: 190 mm x 235 mm x 25 mm
• Subjects: Guides > Law, job, finance > Training, job, career; Social sciences, law, business > Business > Management; Management, Business & management, Wirtschaft u. Management, Spezialthemen Wirtschaft u. Management, Business & Management Special Topics