Data Visualisation with R: 111 Examples
 
A termék adatai:

ISBN13:9783030284435
ISBN10:3030284433
Kötéstípus:Keménykötés
Terjedelem:451 oldal
Méret:235x155 mm
Súly:869 g
Nyelv:angol
Illusztrációk: 19 Illustrations, black & white; 190 Illustrations, color
161
Témakör:

Data Visualisation with R

111 Examples
 
Kiadás sorszáma: 2nd ed. 2019
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
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Kiadói listaár:
EUR 85.59
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35 318 Ft (33 636 Ft + 5% áfa)
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28 254 (26 909 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 7 064 Ft)
A kedvezmény érvényes eddig: 2024. június 30.
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  példányt

 
Rövid leírás:

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R?s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript.

The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields.

This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.

Features and Benefits

Offers a comprehensive introduction to creating presentation graphics with R

Presents the complete code of 111 examples from various fields

Includes step-by-step explanations of the programming of figures, based on real data

Hosszú leírás:

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R?s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript.

The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields.

This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.



?The book can be one of the favourites of a wide range of users from beginners with basic R knowledge to experts. It is especially recommended for students and researchers from social, environmental, and economic fields requiring a consistent and thorough reference always within reach.? (Márta Ladányi, ISCB News, iscb.info, Issue 69, July, 2020)

Tartalomjegyzék:
Data for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.- Interactive Visualisation with JavaScript: Highcharts and Mapael.- Appendix