Data visualisation: Home
Reading list with references to recent books and articles on Data visualisation in practice, Types of data visualisation and tools, Examples of data visualisation, and Storytelling with data
About the selection
This selection of books and articles are mainly from the EC Library’s e‑collection, obtained through its search tool Find-eR.
Access may be restricted to Commission staff or to users at subscribing institutions.
Find-eR search terms:
Material types
- Book for loan: Request a loan of the print version via the title link.
- eJournal article: Title links directly to the full text article.
- eBook: Title links directly to the electronic book.
- eBook on demand: Request access via the title link. See our user guide.
- Think Tank paper, Research working paper: Title links directly to the online version.
Introduction to data visualisation
Training material
- Data visualisation tutorial
/ EU Open Data Portal. Publications Office of the European Union, 2020.
This data visualisation tutorial allows finding information and resources and helping in the creation of data visualisations.
eBook
- Fundamentals of data visualization
By Claus O Wilke (University of Texas, US). O’Reilly Media, Inc., 2019. — 390 pages.
This book takes you through many commonly encountered visualisation problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.
eBook
Data visualization made simple: insights into becoming visual by Taylor & Francis Group, 2018. — 285 pages.
The book examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinises data graphics, deliberates on the messages they convey, and looks at options for design visualisation; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries.
Book for loan
Data Visualization: a practical introduction by O’Reilly Media, Inc., 2019. — 390 pages.
The book begins with a discussion of some core ideas about how we see graphs, what makes some of them better than others, and how to begin cultivating good judgment about visualisation. Then, through a series of worked examples, the book shows how to build plots piece by piece, beginning with scatterplots and summaries of single variables, then moving on to more complex graphics.
eJournal article
- Text, image, data, interaction: understanding information visualization
By Madeleine Sorapure (University of California, US). In: Computers and composition, 54 (2019). — 16 pages.
This article proposes a framework that engages four key elements in information visualisations — text, image, data, and interaction — with the goal of better understanding how information visualisations communicate, especially with mainstream audiences.