[Dummies 01] • Data Visualization For Dummies by Yuk, Mico -- Read -- Imperial Library of Trantor

Index

Cover Title Page Table of Contents Introduction

About This Book Foolish Assumptions Icons Used in This Book Beyond the Book Where to Go from Here

Part I: Getting Started with Data Visualization

Chapter 1: Introducing Data Visualization

Understanding Data Visualization Recognizing the Traits of Good Data Viz Embracing the Design Process Ensuring Excellence in Your Data Visualization

Chapter 2: Exploring Common Types of Data Visualizations

Understanding the Difference between Data Visualization and Infographics Picking the Right Content Type Appreciating Interactive Data Visualizations Observing Visualizations in Different Fields Using Dashboards Discovering Infographics

Chapter 3: Knowing What You Must about Big Data

Defining Big Data Seeing How Big Data Changes Business Avoiding Dying by Tool Choice

Part II: Mastering Basic Data Visualization Concepts

Chapter 4: Using Charts Effectively

Deciding Which Charts to Use and When to Use Them Dipping Into Less-Common Charts

Chapter 5: Adding a Little Context

Making Text Useful Exploring Text Analysis

Chapter 6: Paying Attention to Detail

Uncovering How People Digest Data Presenting Common Visual Patterns Deciding to Use a Template Achieving Consistency across Devices

Part III: Building Your First Data Visualization

Chapter 7: Defining an Easy-to-Follow Storyboard

Business Intelligence Overview Delving Into Your Story Building Your First Storyboard

Chapter 8: Developing a Clear Mock-Up

Getting Started with Your Mock-Up Building Template Layouts

Chapter 9: Adding Effective Visuals to Your Mock-Up

Recognize the Three Traits of an Effective Visual Focus on Insight, Not Hindsight Add Visuals to Your Mock-Up

Chapter 10: Adding Functionality and Applying Color

Recognizing the Human Components Dipping Into Color

Chapter 11: Adding Some Finishing Touches

Choosing Useful Links Adding Legal Stuff Discovering Visual Cues Adding Location Intelligence

Chapter 12: Exploring User Adoption

Understanding User Adoption Considering Five UA Measurements Marketing to Data Viz Users

Part IV: Putting Data Viz Techniques into Practice

Chapter 13: Evaluating Real Data Visualizations

Analyzing Data Visualizations by Category Evaluating Data Visualizations

Chapter 14: Recognizing Newbie Pitfalls

Going Overboard with Data Falling into the One-Shoe-Fits-All Trap Focusing on the Tool Instead of the Story Building Mobile Last Abusing Pie Charts Using Green for Alerts Ignoring Basic Statistics Not Mastering User Engagement

Part V: The Part of Tens

Chapter 15: Top Ten Data Visualization Resources

Edward Tufte Visual.ly The Functional Art Visualizing Data Chart Porn The Excel Charts Blog FlowingData Datavisualization.ch GE Data Visualization #dataviz and #bigdata

Chapter 16: Top Ten Fears of New Data-Viz Creators

Telling the Wrong Story Creating an Ugly Data Viz Picking the Wrong Things to Measure Alienating Other Stakeholders Misunderstanding the Audience for Your Data Viz Forgetting about Copyrights and Legal Matters Selecting the Wrong Tool Making the Wrong Chart Choices Picking Bad/Noncomplementary Colors Using Too Much Data

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