ggplot2 Essentials, by Donato Teutonico
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ggplot2 Essentials, by Donato Teutonico
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Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs
About This Book
- Discover the capabilities of one of the most sophisticated plotting packages in R
- Create high-quality plots with this powerful and flexible tool
- Accelerate your understanding of ggplot2 with useful and practical examples
Who This Book Is For
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.
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
In Detail
ggplot2 is one of the most sophisticated and advanced packages of R and its use is constantly growing in the community of R programmers. This book is the perfect starting point for your journey in learning about one of the most refined and widely used plotting tools―ggplot2.
You will start by taking a tour of the most relevant packages available in R to create plots, such as graphics, lattice, and ggplot2. Following this, you will take a deep dive into the concepts of ggplot2 by covering different kinds of plots that will help you gear up for your first hands-on project. After this first taste of the capabilities of ggplot2, you will explore in detail the visualization approach implemented in this package, the so-called grammar of graphics, providing you with the basics to understand the backstage concepts in the plotting functions. Finally, you will take a look at some specialized and sophisticated applications of ggplot2, such as how to realize a complex scatterplot matrix, heatmaps, and how to make spatial visualization graphs.
ggplot2 Essentials, by Donato Teutonico- Amazon Sales Rank: #202320 in Books
- Published on: 2015-06-30
- Released on: 2015-06-25
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .53" w x 7.50" l, .90 pounds
- Binding: Paperback
- 174 pages
About the Author
Donato Teutonico
Donato Teutonico has received his PharmD degree from the University of Turin, Italy, where he specialized in chemical and pharmaceutical technology, and his PhD in pharmaceutical sciences from Paris-South University, France. He has several years of experience in the modeling and simulation of drug effects and clinical trials in industrial and academic settings. Donato has contributed to numerous scientific projects and publications in international journals. In his work, he has been extensively using R for modeling, data analysis, and data visualization. He is the author of two R packages for pharmacometrics―cts-template and panels-for-pharmacometrics―both of which are available on Google Code. He has also been a reviewer for Packt Publishing and is the author of Instant R Starter, Packt Publishing.
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Most helpful customer reviews
14 of 14 people found the following review helpful. GGplot2 Explained Well By Graham Webster 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 !
3 of 3 people found the following review helpful. Appealing By Dimitri Shvorob 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.PS. If you see any odd things in "Comments", that's probably the psycho who has spent days posting offensive comments to my reviews - only for them to be deleted by Amazon - after I criticized an iffy Packt book promoted with fake five-star reviews. ("R Machine Learning By Example" by Bali and Sarkar, if you are wondering). As long as you know that his "Dimitri Shvorob" is fake, there isn't much harm he can do.
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