BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

ggplot2: Elegant Graphics for Data Analysis (Use R!)

ggplot2: Elegant Graphics for Data Analysis (Use R!)

ggplot2: Elegant Graphics for Data Analysis (Use R!)
Stock photo: cover may vary

ggplot2: Elegant Graphics for Data Analysis (Use R!) Paperback - 2010

by Wickham, Hadley

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Springer, 2010-02-22. paperback. Good. 6x0x9.
Ask the seller a question Add to wish list
A$7.59
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Ships from Orion LLC (Texas, United States)

Details

  • Title ggplot2: Elegant Graphics for Data Analysis (Use R!)
  • Author Wickham, Hadley
  • Binding Paperback
  • Edition 1st ed. 2009. Co
  • Condition Used - Good
  • Pages 212
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2010-02-22
  • Illustrated Yes
  • Bookseller's Inventory # 0387981403-3-36961335
  • ISBN 9780387981406 / 0387981403
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 9 x 6.1 x 0.6 in (22.86 x 15.49 x 1.52 cm)
  • Size 6x0x9
  • Category Computers - Other Applications
  • Library of Congress subjects Graphic methods, R (Computer program language)
  • Library of Congress Catalogue Number 2009928510
  • Dewey Decimal Code 001.422
  • Quantity available 1

About Orion LLC Texas, United States

Biblio member since 2018

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Orion LLC

Reader reviews for ggplot2: Elegant Graphics for Data Analysis (Use R!)

From the publisher

1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is composed of a set of independent components that can be composed in many di?erent ways. This makesggplot2 very powerful, because you are not limited to a set of pre-speci?ed graphics, but you can create new graphics that are precisely tailored for your problem. This may sound overwhelming, but because there is a simple set of core principles and very few special cases, ggplot2 is also easy to learn (although it may take a little time to forget your preconceptions from other graphics tools). Practically, ggplot2 provides beautiful, hassle-free plots, that take care of ?ddly details like drawing legends. The plots can be built up iteratively and edited later. A carefully chosen set of defaults means that most of the time you can produce a publication-quality graphic in seconds, but if you do have special formatting requirements, a comprehensive theming system makes it easy to do what you want. Instead of spending time making your graph look pretty, you can focus on creating a graph that best reveals the messages in your data
tracking-