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Book details
File Size: 104 MB
Format: pdf
Print Length: 385 pages
Publisher: Springer; 1st ed. 2017 edition (January 31, 2017)
Publication Date: January 31, 2017
Sold by: Amazon.com Services LLC
Language: English
ASIN: B06XFJDXDB
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
Description
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.
Table of contents (12 chapters)
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
Book details
File Size: 104 MB
Format: pdf
Print Length: 385 pages
Publisher: Springer; 1st ed. 2017 edition (January 31, 2017)
Publication Date: January 31, 2017
Sold by: Amazon.com Services LLC
Language: English
ASIN: B06XFJDXDB
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
Description
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.
Table of contents (12 chapters)
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