| Description |
1 online resource (xvi, 472 pages) : illustrations |
| Contents |
Intro; #MakeoverMonday; Contents; Foreword; Acknowledgments; From Andy and Eva; From Andy; From Eva; About the Authors; Andy Kriebel; Eva Murray; Part I; Introduction; What Is Makeover Monday?; How Did Makeover Monday Start?; The Community Project; The Andys: Makeover Monday 2016; The Murray/Cotgreave Swap: Makeover Monday 2017; The Next Phase: Makeover Monday 2018; Pillars of Makeover Monday; Developing Technical Skills; Building a Data Visualization Portfolio; Learning and Inspiration; Networking; Demonstrating Leadership; Making an Impact; How to Use this book; Part II |
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Chapter 1 Habits of a Good Data AnalystApproaching Unfamiliar Data; Identify the Challenges; Gain Insights from Metadata; Explore the Data; Analysis versus Visualization; Take Your Time; Build Context Through Additional Research; Read the Available Information; Seek Additional Information; Find Insights; Educating Your Audience; Communicate Clearly; Ask Questions; Summary; Chapter 2 Data Quality and Accuracy; Working with Incomplete Data; Incomplete Data; Missing Data; Excluding Data; Tips for Working with Incomplete or Missing Data; Overcounting Data; Sense-Checking Data; Trump's Tweets |
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Is Puerto Rico a State?Is the Data Aggregable?; Adult Obesity in the United States; Averages of Averages; Substantiating Claims with Data; Summary; Chapter 3 Know and Understand the Data; Using Appropriate Aggregations; Can the Data Be Aggregated?; Basic Aggregation Types; Explaining Metrics; Know Your Audience; Using Appropriate Metrics; Creating New Metrics to Tell a Different Story; Identifying and Correcting Mistakes; Time Series Analysis; Univariate Time Series; Visualizing Seasonality; Using Moving Averages for Smoothing; Variance from a Point in Time; Cycle Plots; Calendar Heat Map |
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Planning the LayoutDesigning for Mobile; Know Your Audience; Information Displays; Color Choices; Use of White Space; Keep It Simple; Bringing It All Together; Using Visual Cues for Additional Information; Using Icons and Shapes; Proper Attributions; Go Easy on the Shapes; Storytelling; Finding a Story and Sticking to It; Long-Form Storytelling; Think Like a Data Journalist; Reviewing Your Work to Improve Its Quality; Take a Step Back; Ask a Friend; Viz Review; Summary; Chapter 7 Trying New Things; Developing a Sharing Culture; Circular Charts; Images from Dot Plots; Patterns and Shapes |
| Summary |
Chapter 4 Keep It Simple; What Is Simplicity?; Simplicity in Design; Simplicity in Layout and Positioning; Simplicity in Colors and Icons; Simplicity in Analysis; Getting Started with New Data; Start Simple; Know When to Stop; Simplicity in Storytelling; Finding Insights; Focusing on a Key Message; Summary; Chapter 5 Attention to Detail; Typos; Punctuation; Formatting; Formatting Charts Effectively; Universal Formatting; Crediting Images and Data Sources; Summary; Chapter 6 Designing for the Audience; Creating an Effective Design; What Is the Purpose?; Who Is the Audience?; Sketching |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Information visualization.
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Statistics.
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Statistics -- Methodology
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Statistics as Topic
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Data Collection
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statistics.
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REFERENCE -- Questions & Answers.
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Information visualization
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Statistics
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| Form |
Electronic book
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| Author |
Murray, Eva Katharina, 1985- author.
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| ISBN |
9781119510727 |
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1119510724 |
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9781119510796 |
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1119510791 |
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