Data Sketches

Wu Shirley Bremer Nadieh

ISBN 10: 0367000083 / ISBN 13: 9780367000080

Edité par Taylor & Francis Group, 2021

A propos de cet article

pp. 428.

N° de réf. du vendeur 391154245

Détails bibliographiques

• Titre: Data Sketches
• Éditeur: Taylor & Francis Group
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 0367000083
• ISBN à 13 chiffres: 9780367000080
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes - from the Olympics to Presidents & Royals and from Movies to Myths & Legends - each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors' personal notes and drafts every step of the way.

The book features:

• Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors' notebooks
• Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts
• Practical lessons based on the data and design challenges overcome during each project
• Full-color pages, showcasing all 24 final data visualizations

This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

À propos de l?auteur

Nadieh Bremer is an astronomer turned data scientist turned freelancing data visualization designer. Shirley Wu studied business and finance, graduated as a software engineer, and is now an independent data visualization designer. Connected by a mutual love for visualizing data, they bring a unique approach to visualization and refuse to be tied down by convention and available tools. The results are beautiful, innovative, and inspiring.

They are both award-winning and internationally recognized data visualization designers. Their past clients include Google, UNESCO, SFMOMA, and the New York Times.