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Название: Displaying Time Series, Spatial, and Space-Time Data with R, 2nd Edition
Автор: Oscar Perpinan Lamigueiro
Издательство: Chapman and Hall/CRC
Серия: The R Series
ISBN: 1138089974
Год: 2018
Страниц: 274
Язык: английский
Формат: pdf (true)
Размер: 23.1 MB

Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code.

This book is organized into three parts, each devoted to different types of data. Each part comprises several chapters according to the various visualization methods or data characteristics. The chapters are structured as independent units so readers can jump directly to a certain chapter according to their needs. Of course, there are several dependencies and redundancies between the sets of chapters that have been conveniently signaled with cross-references.

There are two distinct graphics systems built into R, referred to as traditional and grid graphics. Grid graphics are produced with the grid package, a flexible low-level graphics toolbox. Compared with the traditional graphics model, it provides more flexibility to modify or add content to an existent graphical output, better support for combining different outputs easily, and more possibilities for interaction. All the graphics in this book have been produced with the grid graphics model. Other packages are constructed over it to provide high-level functions, most notably the lattice and ggplot2 packages.

The 3rd section describes the interactive alternatives of the static figures included in the previous sections with several packages: dygraphs, high-charter, plotly, and streamgraph. These packages are R interfaces to javascript libraries based on the htmlwidgets package.

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Автор: Ingvar16 12-01-2022, 16:34 | Напечатать |
 
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