Title Statements
- Full title :Data visualization for dummies / by Mico Yuk, Stephanie Diamond.
Summary
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.
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- Publication Date:©2014
Publication Statements
- Publisher(s):For Dummies, a Wiley Brand
- Place of Publication:Hoboken, NJ
- Language:eng
- Publication Date:©2014
The Physical Object
- Description:1 online resource (258 pages) : : color illustrations
Edition Identifiers
- ISBN:9781118502938, 1118502930, 9781118502891, 1118502892, 1306450136, 9781306450133
- oclc:ocn867931447
- LC Classification:QA76.9.I52
- Dewey Decimal:001.4226028566
Table of Contents
Part I: Getting Started with Data Visualization. Chapter 1: Introducing Data Visualization ; Chapter 2: Exploring Common Types of Data Visualizations ; Chapter 3: Knowing What You Must about Big Data -- Part II: Mastering Basic Data Visualization Concepts. Chapter 4: Using Charts Effectively ; Chapter 5: Adding a Little Context ; Chapter 6: Paying Attention to Detail -- Part III: Building Your First Data Visualization. Chapter 7: Defining an Easy-to-Follow Storyboard ; Chapter 8: Developing a Clear Mock-Up ; Chapter 9: Adding Effective Visuals to Your Mock-Up ; Chapter 10: Adding Functionality and Applying Color ; Chapter 11: Adding Some Finishing Touches ; Chapter 12: Exploring User Adoption -- Part IV: Putting Data Viz Techniques into Practice. Chapter 13: Evaluating Real Data Visualizations ; Chapter 14: Recognizing Newbie Pitfalls -- Part V: The Part of Tens. Chapter 15: Top Ten Data Visualization Resources ; Chapter 16: Top Ten Fears of New Data-Viz Creators.
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