國立虎尾科技大學 |

ggplot2 = Elegant Graphics for Data Analysis /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	ggplot2/ by Hadley Wickham.
Reminder of title:	Elegant Graphics for Data Analysis /
Author:	Wickham, Hadley.
Description:	XVI, 260 p. 232 illus., 140 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-3-319-24277-4
ISBN:	9783319242774

ggplot2 = Elegant Graphics for Data Analysis /
Wickham, Hadley.

ggplot2Elegant Graphics for Data Analysis /[electronic resource] :by Hadley Wickham. - 2nd ed. 2016. - XVI, 260 p. 232 illus., 140 illus. in color.online resource. - Use R!,2197-5736. - Use R!,.

Introduction -- Getting Started with ggplot2 -- Toolbox -- Mastering the Grammar -- Building a Plot Layer by Layer -- Scales, Axes and Legends -- Positioning -- Themes -- Data Analysis -- Data Transformation -- Modelling for Visualisation -- Programming with ggplot2 -- Index -- R Code Index. .

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. New to this edition:< • Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system • New scales, stats and geoms added throughout • Additional practice exercises • A revised introduction that focuses on ggplot() instead of qplot() • Updated chapters on data and modeling using tidyr, dplyr and broom.

ISBN: 9783319242774

Standard No.: 10.1007/978-3-319-24277-4doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

ggplot2 = Elegant Graphics for Data Analysis /
LDR:03489nam a22003975i 4500 001 979004
003 DE-He213
005 20200702075256.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319242774 $9 978-3-319-24277-4
024 7 $a 10.1007/978-3-319-24277-4 $2 doi
035 $a 978-3-319-24277-4
050 4 $a QA276-280
072 7 $a UFM $2 bicssc
072 7 $a COM077000 $2 bisacsh
072 7 $a UFM $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Wickham, Hadley. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 768929
245 1 0 $a ggplot2 $h [electronic resource] : $b Elegant Graphics for Data Analysis / $c by Hadley Wickham.
250 $a 2nd ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XVI, 260 p. 232 illus., 140 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Use R!, $x 2197-5736
505 0 $a Introduction -- Getting Started with ggplot2 -- Toolbox -- Mastering the Grammar -- Building a Plot Layer by Layer -- Scales, Axes and Legends -- Positioning -- Themes -- Data Analysis -- Data Transformation -- Modelling for Visualisation -- Programming with ggplot2 -- Index -- R Code Index. .
520 $a 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. New to this edition:< • Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system • New scales, stats and geoms added throughout • Additional practice exercises • A revised introduction that focuses on ggplot() instead of qplot() • Updated chapters on data and modeling using tidyr, dplyr and broom.
650 0 $a Statistics . $3 1253516
650 0 $a Mathematics. $3 527692
650 0 $a Visualization. $3 574210
650 0 $a Computer graphics. $3 561602
650 1 4 $a Statistics and Computing/Statistics Programs. $3 669775
650 2 4 $a Computer Graphics. $3 669895
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319242750
776 0 8 $i Printed edition: $z 9783319242767
830 0 $a Use R!, $x 2197-5736 $3 1253869
856 4 0 $u https://doi.org/10.1007/978-3-319-24277-4
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)