Questions in Dataviz - A Design-Driven Process for Data Visualisation

This book takes the reader through the process of learning and creating data visualisation, following a unique journey with questions every step of the way, ultimately discussing how and when to bend and break the "rules" to come up with creative, unique, and sometimes unconventional ideas. Each easy-to-follow chapter poses one key question and provides a selection of discussion points and relevant data visualisation examples throughout.Structured in three parts: Section I poses questions around some fundamental data visualisation principles, while Section II introduces more advanced questions, challenging perceived best practices and suggesting when rules are open to interpretation or there to be broken. The questions in Section III introduce further themes leading on to specific ideas and visualisation projects in more detail.Questions in Dataviz: A Design-Driven Process for Data Visualisation will appeal to any reader with an interest in creative or unconventional data visualisation and will be especially useful for those at a beginner or intermediate level looking for inspiration and alternative ways to deploy their data visualisation skills outside of conventional business charts.

Détails du produit

• Auteurs: Neil Richards
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 02.11.2022
• EAN: 9781032146201
• ISBN: 978-1-0-3214620-1
• Pages: 336
• Dimensions: 160 mm x 241 mm x 21 mm
• Thème: AK Peters Visualization Series
• Catégories: Sciences humaines, art, musique > Art > Général, dictionnaires; Sciences naturelles, médecine, informatique, technique; Graphic Design, Data Mining, The arts: general issues, COMPUTERS / General, COMPUTERS / Computer Science, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / General, COMPUTERS / Image Processing, COMPUTERS / Programming / Games, Electrical Engineering, Probability & statistics, Information technology: general issues, Engineering: general, Image processing, Probability and statistics, Information technology: general topics, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Internet / Blogging, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming, The arts: general topics, Ergonomics