Video description
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more.
Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack.
In Everyday Data Visualization you’ll learn important design principles for the most common data visualizations:
- Harness the power of perception to guide a user’s attention
- Bring data to life with color and typography
- Choose the best chart types for your data story
- Design for interactive visualizations
- Keep the user’s needs first throughout your projects
This book gives you the tools you need to bring your data to life with clarity, precision, and flair. You’ll learn how human brains perceive and process information, wield modern accessibility standards, get the basics of color theory and typography, and more.
About the Technology
Even mundane presentations like charts, dashboards, and infographics can become engaging and inspiring data stories! This book shows you how to upgrade the visualizations you create every day by improving the layout, typography, color, and accessibility. You’ll discover timeless principles of design that help you highlight important features, compensate for missing information, and interact with live data flows.
About the Book
Everyday Data Visualization guides you through basic graphic design for the most common types of data visualization. You’ll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you’ll practice each new skill as you take a dashboard project from research to publication.
What's Inside
- Bring data to life with color and typography
- Choose the best chart types for your data story
- Design interactive visualizations
About the Reader
For readers experienced with data analysis tools.
About the Author
Desireé Abbott has over a decade of experience in product analytics, business intelligence, science, design, and software engineering.
The technical editor on this book was Michael Petrey.
Quotes
A delightful blend of data viz principles, guidance, and design tips. The treasure trove of insights I wish I had years ago!
- Alli Torban, Author of Chart Spark
With vibrant enthusiasm and engaging conversational style, this book shines.
- RJ Andrews, data storyteller
Elegantly simplifies complex concepts, making them accessible even to beginners. An enlightening journey.
- Renato Sinohara, Westwing Group SE
Desiree’s approachable writing style makes it easy to dive straight into this book, and you’re in deep before you even know it. I guarantee you’ll learn plenty.
- Neil Richards, 5xTableau Visionary, Author of Questions in Dataviz
Table of contents
- Preface
- Part 1
- Chapter 1. Hello, data viz!
- Chapter 1. What can you expect from this book?
- Chapter 1. Data storytelling: Know your audience
- Chapter 1. Some examples of data viz throughout time
- Chapter 1. Data viz tools
- Chapter 1. Summary
- Chapter 2. How we perceive information
- Chapter 2. Gestalt principles
- Chapter 2. Summary
- Chapter 3. It’s all about the data
- Chapter 3. Dimensions and measures
- Chapter 3. A primer of data types
- Chapter 3. Describing data values
- Chapter 3. Data structures
- Chapter 3. Summary
- Part 2
- Chapter 4. Choosing colors
- Chapter 4. A few color spaces
- Chapter 4. Different kinds of color palettes and how to make them
- Chapter 4. Inclusive color palettes
- Chapter 4. Summary
- Chapter 5. Typography
- Chapter 5. Optimizing for readability
- Chapter 5. How type sets the tone
- Chapter 5. Communicating a hierarchy with type
- Chapter 5. Accessibility and typography
- Chapter 5. Summary
- Chapter 6. Creating a good chart
- Chapter 6. Bar charts that aren’t boring
- Chapter 6. Making a good map viz
- Chapter 6. Summary
- Chapter 7. Designing for interactivity
- Chapter 7. Enabling exploration using interaction
- Chapter 7. Interactions on different devices
- Chapter 7. WCAG and interactivity
- Chapter 7. Summary
- Part 3
- Chapter 8. Research, design, and development
- Chapter 8. The research and planning phase
- Chapter 8. The design phase
- Chapter 8. The development phase
- Chapter 8. Summary
- Chapter 9. Troubleshooting
- Chapter 9. What to do when you’re asked to ignore your viz-tuition
- Chapter 9. Dealing with scope-creep and the never-ending project
- Chapter 9. The last word
- Chapter 9. Summary
- Appendix. Further resources
- Appendix. Where to find open data
- Appendix. Tools for colors
- Appendix. Tools for choosing chart types
- Appendix. Tools for accessible interactivity
Product information
- Title: Everyday Data Visualization, Video Edition
- Author(s):
- Release date: May 2024
- Publisher(s): Manning Publications
- ISBN: None
You might also like
book
Fundamentals of Data Visualization
Effective visualization is the best way to communicate information from the increasingly large and complex datasets …
book
Data Visualization with Python and JavaScript, 2nd Edition
How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this …
book
Learning Data Science
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's …
book
Pandas Workout
Practice makes perfect pandas! Work out your pandas skills against dozens of real-world challenges, each carefully …