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Автор: Natalia Andrienko, Gennady Andrienko, Georg Fuchs
Издательство: Sprenger
Год: 2020
Формат: True PDF
Страниц: 450
Размер: 23.4 Mb
Язык: English
This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail.
The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods.