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Everyday Data Visualization - by  Desireé Abbott (Paperback) - 1 of 1

Everyday Data Visualization - by Desireé Abbott (Paperback)

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About this item

Highlights

  • Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more.
  • About the Author: Desireé Abbott has over a decade of experience in product analytics, business intelligence, science, design, and software engineering.
  • 264 Pages
  • Computers, Data Science

Description



About the Book



Everyday Data Visualization gives you skills you'll use to enhance the most common data visualizations, including charts and tables, data dashboards, and infographics. You'll learn how to use color, typography, positioning, and choice of charts to catch and keep a viewer's attention.



Book Synopsis



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.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

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.

Table of Contents

PART 1
1 Hello, data viz!
2 How we perceive information
3 It's all about the data
PART 2
4 Choosing colors
5 Typography
6 Creating a good chart
7 Designing for interactivity
PART 3
8 Research, design, and development
9 Troubleshooting
Appendix



From the Back Cover



From the back cover:

Everyday Data Visualization gives you skills you'll use to enhance the most common data visualizations, including charts and tables, data dashboards, and infographics. You'll learn how to use color, typography, positioning, and choice of charts to catch and keep a viewer's attention. Discover the finesse and design rigor that goes into building delightful dashboards, and best practices for live visualizations that flex and grow as underlying data changes. Design fundamentals are broken down into their component parts so they're easy to understand, even if you're the analytical type! Best of all, everything you learn is tool-agnostic, with universal principles you can apply to any data stack.

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.
Dimensions (Overall): 9.13 Inches (H) x 7.32 Inches (W) x .79 Inches (D)
Weight: 1.2 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 264
Genre: Computers
Sub-Genre: Data Science
Publisher: Manning Publications
Theme: Data Visualization
Format: Paperback
Author: Desireé Abbott
Language: English
Street Date: May 28, 2024
TCIN: 1013093892
UPC: 9781633438408
Item Number (DPCI): 247-60-2709
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.79 inches length x 7.32 inches width x 9.13 inches height
Estimated ship weight: 1.2 pounds
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