#MakeOverMonday : improving how we visualize and analyze data, one chart at a time /
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;...
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Full text (MCPHS users only) |
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| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2018
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
MARC
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| 100 | 1 | |a Kriebel, Andrew Michael, |d 1973- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjrGwhkVDc38FkgcyqQ7Dy | |
| 245 | 1 | 0 | |a #MakeOverMonday : |b improving how we visualize and analyze data, one chart at a time / |c Andy Kriebel, Eva Murray. |
| 246 | 3 | |a MakeOverMonday | |
| 246 | 3 | |a Make Over Monday | |
| 246 | 3 | |a MakeOver Monday | |
| 264 | 1 | |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c [2018] | |
| 300 | |a 1 online resource (xvi, 472 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a 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 | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Statistics. | |
| 650 | 0 | |a Statistics |x Methodology. | |
| 650 | 2 | |a Statistics as Topic | |
| 650 | 2 | |a Data Collection | |
| 650 | 7 | |a statistics. |2 aat | |
| 700 | 1 | |a Murray, Eva Katharina, |d 1985- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjHYhrrBW8PCK7kfXVmFBq | |
| 758 | |i has work: |a #MakeOverMonday (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFGqjwv34pRpcrGdcQDWH3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Kriebel, Andy. |t #MakeOverMonday. |d Hoboken, NJ : John Wiley & Sons, Inc., [2018] |z 9781119510772 |w (OCoLC)1022080231 |
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