CHART

Designing Creative Data Visualizations from Charts to Art

(Author) Nadieh Bremer
Format: HardCover
£51.99 Price: £50.43 (3% off)
In Stock
(Limited availability – contact us to confirm)
Generally dispatched in 1 to 2 days

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.

Information
Publisher:
Taylor & Francis Ltd
Format:
HardCover
Language:
en
ISBN:
9781032797755
Publish year:
2025
Publish date:
June 5, 2025

Nadieh Bremer

Reviews

Leave a review

Please login to leave a review.

Be the first to review this product

Other related

INTRODUCING POSITIONS VOL 1 VLN BK
Harry Potter Knitting

Harry Potter Knitting

The Official Harry Potter Knitting Pattern Book

Tanis Gray
Loosely Based On A Made-Up Story

Loosely Based On A Made-Up Story

A Non-Memoir

James Blunt
Paperback
Causal AI

Causal AI

Robert Osazuwa Ness
HardCover
Honey Bee

Honey Bee

Grace Jones
HardCover
Kangaroo

Kangaroo

Shalini Vallepur
HardCover