Many books focus on using software to visualise data but fewer consider good design. Data Visualisation addresses this in an inherently practical way. This is a much needed book which recognises and clarifies the process of designing excellent graphics.
What do we actually mean when we talk about Data Visualisation? How do we 'do it’? How can we ensure our research using Data Visualisation is effective and ethical? The answers are all here in this inspirational and invaluable guide.
Everything I loved in the first edition of this valuable book has been incorporated into the second, including Kirk’s typology of data visualisation and masses of visual examples, but with more precise written arguments. This volume continues to fill the gap between overwhelming data and the visualisations that can facilitate understanding.
In this second edition, Andy adds relevant content to what was already a fantastic framework for learning the fundamentals of data visualization, all with acute and critical eyes. As an educator, I find it an invaluable resource to students and myself alike.
While most works in this space focus on data journalism, scientific visualisations or other specialist audiences, this book targets decision makers and helps with everything from initial concepts and data preparation to editorial layouts. A refreshing angle and a compelling read.
This was a great text for my Data Visualization course, to teach the design side of things and considerations for such.