Chapman and Hall/CRC
218 pages | 124 Color Illus.
This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia.
Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data.
Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods.
Cover image: Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Copyright © Jill Pelto (jillpelto.com).
"In [this book], Professor Grant gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. [It] includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data; Contains more than 125 visualizations, most of which were created by Professor Grant; And is supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. … [This book] is especially recommended reading for students considering a career in data science, analysts who wants to learn more about visualization, and managers of teams working with data. Introducing a broad range of data visualization methods, [this] is a valued and unreservedly recommended addition to college and university library collections."
– Micah Andrew, Reviewer, Midwest Book Review, January 2019
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