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|a 9781119510796
|b Wiley
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|a 001.4/226
|2 23
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|a UAMI
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|a Kriebel, Andrew Michael,
|d 1973-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjrGwhkVDc38FkgcyqQ7Dy
|
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1 |
0 |
|a #MakeOverMonday :
|b improving how we visualize and analyze data, one chart at a time /
|c Andy Kriebel, Eva Murray.
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|a MakeOverMonday
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246 |
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|a Make Over Monday
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|a MakeOver Monday
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1 |
|a Hoboken, NJ :
|b John Wiley & Sons, Inc.,
|c [2018]
|
300 |
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|a 1 online resource (xvi, 472 pages) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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|a Print version record.
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|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
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|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
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|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
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|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
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|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
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
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|a Information visualization.
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650 |
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|a Statistics.
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650 |
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|a Statistics
|x Methodology.
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650 |
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2 |
|a Statistics as Topic
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650 |
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2 |
|a Data Collection
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650 |
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|a Visualisation de l'information.
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650 |
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|a Statistiques.
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|a Statistique
|x Méthodologie.
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|a Statistique.
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|a statistics.
|2 aat
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|a REFERENCE
|x Questions & Answers.
|2 bisacsh
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|a Information visualization
|2 fast
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|a Statistics
|2 fast
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700 |
1 |
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|a Murray, Eva Katharina,
|d 1985-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjHYhrrBW8PCK7kfXVmFBq
|
758 |
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|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
|
856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5554190
|z Texto completo
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|b EBLB
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