Data Visualization For Dummies
For Dummies (Verlag)
978-1-118-50289-1 (ISBN)
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A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about it
Big data is big news! Every company, industry, not-for-profit, and government agency wants and needs to analyze and leverage datasets that can quickly become ponderously large. Data visualization software enables different industries to present information in ways that are memorable and relevant to their mission. This full-color guide introduces you to a variety of ways to handle and synthesize data in much more interesting ways than mere columns and rows of numbers.
Learn meaningful ways to show trending and relationships, how to convey complex data in a clear, concise diagram, ways to create eye-catching visualizations, and much more!
Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience
This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views
Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography
Enables you to present vast amounts of data in ways that won't overwhelm your audience
Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember.
Mico Yuk is founder of BIBrainz.com and BIDashboardFormula.com. She is a Business Intelligence coach, global keynote speaker, and analytics blogger. Stephanie Diamond is a former marketing director for AOL, founder of MarketingMessageMindset.com, and the author of seven business books, including Social CRM For Dummies.
Introduction 1
Part I: Getting Started with Data Visualization 5
Chapter 1: Introducing Data Visualization 7
Chapter 2: Exploring Common Types of Data Visualizations 13
Chapter 3: Knowing What You Must about Big Data 29
Part II: Mastering Basic Data Visualization Concepts 39
Chapter 4: Using Charts Effectively 41
Chapter 5: Adding a Little Context 53
Chapter 6: Paying Attention to Detail 67
Part III: Building Your First Data Visualization 79
Chapter 7: Defining an Easy-to-Follow Storyboard 81
Chapter 8: Developing a Clear Mock-Up 99
Chapter 9: Adding Effective Visuals to Your Mock-Up 109
Chapter 10: Adding Functionality and Applying Color 131
Chapter 11: Adding Some Finishing Touches 147
Chapter 12: Exploring User Adoption 161
Part IV: Putting Data Viz Techniques into Practice 169
Chapter 13: Evaluating Real Data Visualizations 171
Chapter 14: Recognizing Newbie Pitfalls 191
Part V: The Part of Tens 207
Chapter 15: Top Ten Data Visualization Resources 209
Chapter 16: Top Ten Fears of New Data-Viz Creators 213
Index 219
| Erscheint lt. Verlag | 7.2.2014 |
|---|---|
| Sprache | englisch |
| Maße | 188 x 229 mm |
| Gewicht | 431 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Office Programme ► Outlook | |
| ISBN-10 | 1-118-50289-2 / 1118502892 |
| ISBN-13 | 978-1-118-50289-1 / 9781118502891 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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