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论坛 数据科学与人工智能 数据分析与数据科学 数据可视化
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2019-02-12
Data Visualization: Charts, Maps, and Interactive Graphics - Robert Grant
  • Publisher:  Chapman and Hall/CRC; 1 edition (November 13, 2018)
  • Language:  English
  • ISBN-10:  113855359X
  • ISBN-13:  978-1138553590

There is more ages and more opportunities for interesting work with data than ever before, but there is also an afterwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference 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.


Features:


  • Focusses on concepts and ways of thinking about data rather than algebra or computer code.
  • Features 17 short chapters that can be read in one sitting.
  • 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 created by the author.
  • Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images.

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).


Review


"Excellent!" – Andrew Gelman


About the Author


Robert Grant  is a British statistician specialising in data visualization and Bayesian models. He worked in biomedical research and taught statistics at St George's Medical School, Kingston University, the Royal College of Physicians of London, and the National Institute for Health and Care Excellence before launching His own training and coaching business, BayesCamp, in 2017.







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2019-2-27 08:47:42
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