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ggplot2 Elegant Graphics for Data Analysis

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This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:

produce handsome, publication-quality plots with automatic legends created from the plot specification
superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales
add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression
save any ggplot2 plot (or part thereof) for later modification or reuse
create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots
approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot
This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

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Detail Information

Series Title

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Call Number

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Publisher

Atlantis Press and the author : Springer Cham., 2016

Collation

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Language

English

ISBN/ISSN

978-3-319-24277-4

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Computer Graphics
Statistics and Computing
Data and Information Visualization

Specific Detail Info

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Statement of Responsibility

Hadley Wickham

Other Information

Cataloger

Yudi

Source

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Validator

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