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

ISBN-13: 9781119510772 / Angielski / Miękka / 2018 / 496 str.

Andrew Kriebel; Eva Murray

Opis

Explore different perspectives and approaches to create more effective visualizations #MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data.

Spis treści

Foreword ixAcknowledgments xiAbout the Authors xvPart IIntroduction 3What Is Makeover Monday? 3How Did Makeover Monday Start? 4The Community Project 7Pillars of Makeover Monday 16How to Use this book 29Part IIChapter 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

O autorze

Andy Kriebel

Biography

Head Coach, The Information Lab Data School

Andy, a member of the Tableau Zen Master Hall of Fame, began using Tableau in April 2007. Since then, it s been Andy s mission to help as many people as possible see and understand their data with Tableau, which is the focus of his role as Head Coach at The Information Lab Data School. In August 2009, he launched vizwiz.com, which is credited as the first ever Tableau–related blog and provides examples of data visualization best practices, methods for improving existing work, and tips and tricks with Tableau. He writes three weekly series: Makeover Monday, Tableau Tip Tuesday and Workout Wednesday.

Andy also writes about great data visualizations he finds around the web on his other website DataVizDoneRight.com and he is ½ of Dear–Data–Two.com with Jeffrey Shaffer.

In addition to his recognized expertise in data visualization and Tableau, Andy is frequently invited to speak at conferences around the world. Prior to his role at The Information Lab, Andy ran the Tableau Center of Excellence at Facebook, providing data visualization and data analysis training at Facebook offices globally. Andy was also the first Tableau user at Coca–Cola before moving to Facebook.

Websites & Social Media

Websites: www.vizwiz.com | www.datavizdoneright.com | www.makeovermonday.co.uk | www.thedataschool.co.uk | www.dear–data–two.com | https://www.brighttalk.com/channel/15837/makeover–monday

Twitter: @VizWizBI

Facebook: https://www.facebook.com/vizwiz/

YouTube: https://www.youtube.com/user/kriebela/

Tableau: https://public.tableau.com/profile/andy.kriebel#!/

Eva Murray

Biography

Head of Business Intelligence and Tableau Zen Master, Exasol

Eva joined the field of Business Intelligence and Data Visualisation in 2013 while living and working in Australia. After moving to Germany in 2016, she is now part of Exasol s management team, responsible for executing the company s data–driven strategy and developing an Analytics Center of Excellence. Eva is passionate about bringing data to more people and creating educational content and collaboration opportunities for data analysts across the world to build a community of like–minded professionals who drive action and change.

Eva is a Tableau Zen Master, Tableau Ambassador, has co–hosted the popular social data project Makeover Monday since January 2017, and blogs at trimydata.com, where she writes about her three passions: Tableau, Travel and Triathlon.

Eva has successfully built her profile in the data visualization and Tableau community, starting in Australia where she worked as a Tableau trainer and consultant, helping large organisations improve their analytics environments. Since moving to Europe, Eva has spoken at a number of international conferences and analytics events and was a judge for Tableau s inaugural Iron Viz Europe contest.

Websites & Social Media

Websites: www.trimydata.com | www.makeovermonday.co.uk | https://www.brighttalk.com/channel/15837/makeover–monday

Twitter: @TriMyData

Tableau Public: https://public.tableau.com/profile/eva.murray#!/