#makeovermonday : improving how we visualize and analyze data, one chart at a time /: improving how we visualize and analyze data, one chart at a time. (2018)
- Record Type:
- Book
- Title:
- #makeovermonday : improving how we visualize and analyze data, one chart at a time /: improving how we visualize and analyze data, one chart at a time. (2018)
- Main Title:
- #makeovermonday : improving how we visualize and analyze data, one chart at a time
- Other Titles:
- Hashtag makeovermonday
- Further Information:
- Note: Andy Kriebel, Eva Murray.
- Authors:
- Kriebel, Andy
Murray, Eva - 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 EffectiveForeword 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 … (more)
- Edition:
- 1st
- Publisher Details:
- Hoboken, New Jersey : John Wiley & Sons, Inc
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 001.4226
Information visualization
Visual analytics
Electronic data processing
Communication -- Data processing - Languages:
- English
- ISBNs:
- 9781119510796
- Related ISBNs:
- 9781119510727
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.339956
- Ingest File:
- 01_288.xml