Chapman and Hall/CRC
210 pages | 124 Color Illus.
There has been huge growth in innovative data visualisations in recent years, and there is a lot of interest in this topic among academics, the general public, journalists and business people. This book provides an introduction to the general principles of data visualization, with a focus on practical considerations for people who want to understand them or start making their own. It does not cover tools, which are varied and constantly changing, but focusses on the thought process of choosing the right format and design to best serve the data and the message. Naturally, the book will have lots of full colour examples of good and bad data visualizations.
– Andrew Gelman
Translating numbers to images
Continuous and discrete numbers
Percentages and risks
Showing data or statistics
Differences, ratios, correlations
Visual perception and the brain
Statistical predictive models
Machine learning techniques
Maps and networks
Visualisation as part of a bigger package
Some overarching ideas