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Communicate the data that is powering our changing world with this essential text
The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of 'artificial intelligence, ' has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral part of this subject. The expansion of Data Science is already leading to greater demand for new approaches to Data Visualization, a process that promises only to grow.
Data Visualization: Graphics, Dashboards, and Maps with R, Python, and Open Data offers a thorough overview of the key dimensions of this subject. Beginning with the fundamentals of data visualization with Python and R, two key environments for data science, the book proceeds to lay out a range of tools for data visualization and their applications in web dashboards, data science environments, graphics, maps, and more. With an eye towards remarkable recent progress in open-source systems and tools, this book offers a cutting-edge introduction to this rapidly growing area of research and technological development.
Data Visualization readers will also find:
Data Visualization is ideal for any student or professional looking to understand the working principles of this key field.
Author: Marco Cremonini
ISBN-10: 1394289480
ISBN-13: 9781394289486
Publisher: Wiley
Language: English
Published: 12/12/2024
Pages: 576
Format: Hardcover
Weight: 2.06lbs
Size: 9.00h x 6.00w x 1.25d
Marco Cremonini, PhD, is Assistant Professor in the Department of Social and Political Science at the University of Milan, Italy. He is a member of the BehaveLab, the Centre for Behavioral Sociology Research, at the University of Milan, and in addition to his participation in several European Union projects, he has also held researcher and visiting positions at elite US universities. Dr. Cremonini has authored two books with Wiley, Data Science Fundamentals with R, Python, and Open Data 1st Edition.
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