CHART
eBook - ePub

CHART

Designing Creative Data Visualizations from Charts to Art

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

CHART

Designing Creative Data Visualizations from Charts to Art

About this book

CHART is a guide to unleashing creativity in data visualization. It takes you on a journey along the spectrum from an ordinary chart to data art, packed with ways to bring more creativity into any visualization. It will help to make your visuals more compelling and memorable, long after the numbers have been crunched.

Drawing from over a decade of experience, the author shares thirteen hands-on, tool-agnostic lessons, each filled with actionable insights and unique perspectives. Between these core lessons, you'll find tips, mini-chapters, and dozens of real-world examples from both client and personal projects. The book also includes exclusive glimpses into early sketches, works-in-progress, and in-depth design stories that reveal how creativity in data is often a messy, non-linear, but ultimately rewarding process.

CHART: Designing Creative Data Visualization from Charts to Art is designed for journalists, data analysts, business professionals, and newcomers alike, these lessons empower readers to push beyond the default. By the end of the book, you'll have the tools and inspiration to transform typical charts and graphs into visuals that not only inform but also captivate and connect with your audience.

This book invites you to break the mold and think outside the chart.

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Yes, you can access CHART by Nadieh Bremer in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Graphics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Endorsements Page
  4. Series Page
  5. Copyright Page
  6. Title Page
  7. Dedication Page
  8. Contents
  9. Introduction
  10. A Blueprint
  11. My Journey Into Data Visualization
  12. My Data Visualization Process
  13. My Tools and Software
  14. Part I Staying Close to Ordinary Charts
  15. Part II Getting Creative
  16. Part III Aiming for Visual Diversity
  17. Part IV Diving Into Data Art
  18. Conclusion
  19. Acknowledgments
  20. Case Study Metadata List
  21. Index