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Description

This book is perfect for R programmers who are interested in learning to use ggplot2 for data visualization, from the basics up to using more advanced applications, such as faceting and grouping. Since this book will not cover the basics of R commands and objects, you should have a basic understanding of the R language.

Who is this book for?

What you will learn

Familiarize yourself with some important data visualization packages in R such as graphics, lattice, and ggplot2

Realize different kinds of simple plots with the basic qplot function

Understand the basics of the grammar of graphics, the data visualization approach implemented in ggplot2

Master the ggplot2 package in realizing complex and more advanced graphs

Personalize the graphical details and learn the aesthetics of plotting graphs

Save and export your plots in different formats

Include maps in ggplot graphs, overlay data on maps, and learn how to realize complex matrix scatterplots

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

RStudio for R Statistical Computing Cookbook

$50.99

$45.99

$27.99

Total $ 124.97

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L. G. Feb 27, 2016

THIS IS A COMPACT BOOK TO LEAR HOW TO MAKE GRAPHICS, IT DOES NOT SHOW ALL ADVANCED POSSIBILITY, BUT IS IS A GOOD INTRODUCTION FOR WHO IS STARTING FROM A BASIC MEDIUM LEVEL

Amazon Verified review

Graham Webster Jan 04, 2016

Books published by Packt Publishing are a mixed bag in terms of quality; however this book on ggplot2 is pretty good. I have purchased a few books on ggplot2, and I consider it the best introduction available for a user who is familiar with R. The book has a clearly written and logical approach to the subject, and has a good balance between theory and practice. I think I now have a reasonable understanding of how the "grammar of graphics" works, and can understand the logic of the program. Other books tend to adopt a cookbook approach (and Winston Chang's R Graphics Cookbook is a good example of that ). A graphics program that is based on a grammatical approach deserves to be explained in a way that allows the reader to build on their knowledge in a systematic way and to be able to extend the given examples to other situations. I'll go back to Hadley's book on ggplot2 ; I might understand it better now !

Luca Antonelli Aug 23, 2015

Spiega le basi dei grafici in R, senza entrare in dettagli complicati, o grafici molto complessi, ma concentrandosi sulla "filosofia" del pacchetto. Manca una parte sull'utilizzo del pacchetto all'interno di funzioni definite dall'utente.

Dimitri Shvorob May 14, 2016

I am going to be less diplomatic than Graham Webster and say that 90% of Packt output is garbage - and I keep checking out their titles purely for the other 10%. "ggplot2 Essentials" is among those positive surprises. OK, it is not a five-star book. First, specific editorial choices have made presentation less effective, and wasted space, reducing "core" page count to 100+. (To mention a specific peeve - the geom list on pages 97-101 was a disappointment: I would have liked illustrations, not simply a list). Second - and this is not the author's fault - Packt's standard no-frills black-and-white looks are a material problem for a book about a graphics package; the visually appealing books by Wickham and Chang surely "sell" "ggplot2" better. On the other hand, I see a competently written, substantial, non-copycat book which absolutely delivers the "ggplot2 essentials" it has promised in the title, and makes an effort to explain that advertised "grammar of graphics". Agreeing with Graham Webster again, the latter element was lacking in Winston Chang's otherwise proficiently crafted book. Still, Chang's has other strengths. My recommendation to a "ggplot2" novice would be the "Chang's plus Teutonico's" combo.UPD. On second thought, my recommendation to a "ggplot2" novice would be: drop R and switch to Python. It even has a ggplot port.

Michael Fahey Dec 29, 2017

Hey PACKT publishing. The next time you want to write book on graphics and visualization PRINT IT IN COLOR!!!!! The world moved away from black and white monitors about 25 years ago. This is absolutely the most bizarre thing I have seen in my life where an author probably wrote a great book describing how to build color visualizations in ggplot2 and a cheap two bit lamebrain publisher decided to save 10 cents by printing it in black and white. What a waste of paper and money and time.

ggplot2 Essentials: Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs

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