Автор: Munzner Название: Visualization Analysis and Design ISBN: 1466508914 ISBN-13(EAN): 9781466508910 Издательство: Taylor&Francis Рейтинг: Цена: 10717.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn How to Design Effective Visualization Systems
Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.
The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.
The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human-computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
Автор: Matt A. Wood Название: Python and Matplotlib Essentials for Scientists and Engineers ISBN: 1681749106 ISBN-13(EAN): 9781681749105 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 6237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.
Автор: John M. Stewart Название: Python for Scientists ISBN: 1316641236 ISBN-13(EAN): 9781316641231 Издательство: Cambridge Academ Рейтинг: Цена: 5067.00 р. Наличие на складе: Поставка под заказ.
Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Автор: Cuesta Hector Название: Practical Data Analysis ISBN: 1783280999 ISBN-13(EAN): 9781783280995 Издательство: Неизвестно Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Francisco Azuaje Название: Data Analysis and Visualization in Genomics and Proteomics ISBN: 0470094397 ISBN-13(EAN): 9780470094396 Издательство: Wiley Рейтинг: Цена: 23277.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems.
Описание: This practical book presents a data scientist`s approach to building language-aware products with applied machine learning.
Автор: Vothihong Phuong, Czygan Martin Название: Getting Started with Python Data Analysis ISBN: 1785285114 ISBN-13(EAN): 9781785285110 Издательство: Неизвестно Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Luckey Название: Membrane Structural Biology ISBN: 1107030633 ISBN-13(EAN): 9781107030633 Издательство: Cambridge Academ Рейтинг: Цена: 9346.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook provides a strong foundation and comprehensive overview for students and an invaluable synthesis of cutting-edge research for working scientists. This second edition is expanded to include and make accessible all the latest developments and topics, with more than twenty new high resolution structures. Links between membrane research and human health are emphasised throughout.
Описание: The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.
Описание: Discusses the issues that the agricultural industry currently faces and the technological opportunities that can be explored to help protect and predict crop growth and achieve more resilient agricultural processes. The book analyses the impact of agricultural pollution and food insecurity and proposes solutions to promote sustainability.
Автор: Toms Silas, Rees Eric Van, Crickard Paul Название: Mastering Geospatial Analysis with Python ISBN: 1788293339 ISBN-13(EAN): 9781788293334 Издательство: Неизвестно Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
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