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Visual Analytics for Data Scientists - Andrienko, Natalia, and Andrienko, Gennady, and Fuchs, Georg
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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 ...

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Visual Analytics for Data Scientists 2021, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030561482

Paperback

Visual Analytics for Data Scientists 2020, Springer, Cham

ISBN-13: 9783030561451

2020 edition

Hardcover