Cargando…

ggplot2 Elegant Graphics for Data Analysis /

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 h...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wickham, Hadley (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:2nd ed. 2016.
Colección:Use R!,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-24277-4
003 DE-He213
005 20220120162849.0
007 cr nn 008mamaa
008 160608s2016 sz | 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 
050 4 |a QA276.4-.45 
072 7 |a PBT  |2 bicssc 
072 7 |a UFM  |2 bicssc 
072 7 |a COM077000  |2 bisacsh 
072 7 |a PBT  |2 thema 
072 7 |a UFM  |2 thema 
082 0 4 |a 519.5  |2 23 
100 1 |a Wickham, Hadley.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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 2197-5744 
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 Mathematical statistics-Data processing. 
650 0 |a Information visualization. 
650 0 |a Computer graphics. 
650 1 4 |a Statistics and Computing. 
650 2 4 |a Data and Information Visualization. 
650 2 4 |a Computer Graphics. 
710 2 |a SpringerLink (Online service) 
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 2197-5744 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-24277-4  |z Texto Completo 
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)