12.1 A ggplot2 Tutorial for Beautiful Plotting in R
(Oscar: Not a book per se, but it should be, so I’m adding !)
A mega tutorial of creating great ggplot2 visuals.
Link: https://cedricscherer.netlify.app/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/
12.2 An Introduction to ggplot2
by Ozancan Ozdemir
This book aims to show how you can make a well-known statistical plots by using ggplot2, and also how you can improve or customize them.
Link: https://bookdown.org/ozancanozdemir/introduction-to-ggplot2/
12.3 BBC Visual and Data Journalism cookbook for R graphics
At the BBC data team, we have developed an R package and an R cookbookto make the process of creating publication-ready graphics in ourin-house style using R’s ggplot2 library a more reproducible process, aswell as making it easier for people new to R to create graphics.
12.4 Data Processing & Visualization
This document provides some tools, demonstrations, and more to make dataprocessing, programming, modeling, visualization, and presentationeasier.While the programming language focus is on R, where applicable(which is most of the time), Python notebooks are also available.
Link: https://m-clark.github.io/data-processing-and-visualization/
12.5 Data visualisation using R, for researchers who don’t use R
by Emily Nordmann, Phil McAleer, Wilhelmiina Toivo, Helena Paterson, Lisa DeBruine
In this tutorial, we aim to provide a practical introduction to data visualisation using R, specifically aimed at researchers who have little to no prior experience of using R. First we detail the rationale for using R for data visualisation and introduce the “grammar of graphics” that underlies data visualisation using the ggplot package. The tutorial then walks the reader through how to replicate plots that are commonly available in point-and-click software such as histograms and boxplots, as well as showing how the code for these “basic” plots can be easily extended to less commonly available options such as violin-boxplots.
12.6 Data Visualization - A practical introduction
by Kieran Healy
This book is a hands-on introduction to the principles and practice oflooking at and presenting data using R and ggplot.
Link: https://socviz.co/
12.7 Data Visualization in R
by Brooke Anderson
Workshop for the 2019 Navy and Marine Corps Public Health Conference. Ihave based this workshop on examples for you to try yourself, becauseyou won’t be able to learn how to program unless you try it out. I’vepicked example data that I hope will be interesting to Navy and MarineCorp public health researchers and practitioners.
Link: https://geanders.github.io/navy_public_health/index.html#prerequisites
12.8 Data Visualization with R
by Rob Kabakoff
This book helps you create the most popular visualizations - from quickand dirty plots to publication-ready graphs. The text relies heavily onthe ggplot2 package for graphics, but other approaches are covered aswell.
12.9 Fundamentals of Data Visualization
by Claus Wilke
The book is meant as a guide to making visualizations that accuratelyreflect the data, tell a story, and look professional.
12.10 ggplot2 Elegant Graphics for Data Analysis
by Hadley Wickham
ggplot2 is an R package for producing statistical, or data, graphics.Unlike most other graphics packages, ggplot2 has an underlying grammar,based on the Grammar of Graphics (Wilkinson 2005), that allows you tocompose graphs by combining independent components. This makes ggplot2powerful. Rather than being limited to sets of pre-defined graphics, youcan create novel graphics that are tailored to your specific problem.
12.11 ggplot2 in 2
by Lucy D’Agostino McGowan
Really good overview of ggplot2. The premise is that you’ll cover thefundamentals in 2 hours. Oscar Baruffa made a sped-upscreencast while working through it. Itdid take 2 hours :).
Paid: Pay what you want, minimum $4.99 $5
12.12 Graphical Data Analysis with R
by Antony Unwin
The main aim of the book is to show, using real datasets, whatinformation graphical displays can reveal in data. The target readershipincludes anyone carrying out data analyses who wants to understand theirdata using graphics.
The book is published by CRC Press and available topurchase,but all the examples and code are freely available on a comprehensivewebsite accompanying the text at http://www.gradaanwr.net/
12.13 Hands-On Data Visualization Interactive Storytelling from Spreadsheets to Code
by Jack Dougherty, Ilya Ilyankou
(Oscar: looks like am amazing resource and includes code templates!)
In this book, you’ll learn how to create true and meaningful datavisualizations through chapters that blend design principles andstep-by-step tutorials, in order to make your information-based analysisand arguments more insightful and compelling. Just as sentences becomemore persuasive with supporting evidence and source notes, yourdata-driven writing becomes more powerful when paired with appropriatetables, charts, or maps. Words tell us stories, but visualizations showus data stories by transforming quantitative, relational, or spatialpatterns into images. When visualizations are well-designed, they drawour attention to what is most important in the data in ways that wouldbe difficult to communicate through text alone.
12.14 JavaScript for R
by John Coene
Learn how to build your own data visualisation packages, improve shinywith JavaScript, and use JavaScript for computations.
12.15 plotly Interactive web-based data visualization with R, plotly, and shiny
by Carson Sievert
In this book, you’ll gain insight and practical skills for creatinginteractive and dynamic web graphics for data analysis from R. It makesheavy use of plotly for rendering graphics, but you’ll also learn aboutother R packages that augment a data science workflow, such as thetidyverse and shiny. Along the way, you’ll gain insight into bestpractices for visualization of high-dimensional data, statisticalgraphics, and graphical perception.
Link: https://plotly-r.com/
12.16 R Graphics Cookbook, 2nd edition
by Winston Chang
The goal of the cookbook is to provide solutions to common tasks andproblems in analyzing data.
Link: https://r-graphics.org/
12.17 Solutions to ggplot2 Elegant Graphics for Data Analysis
by Howard Baek
This is the website for “Solutions to ggplot2: Elegant Graphics for Data Analysis,” a solution manual to the exercises in the 3rd edition of ggplot2: Elegant Graphics for Data Analysis, written by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen. While there are bookdown solution manuals to Hadley Wickham’s Advanced R and Mastering Shiny, there is no such thing for the ggplot2 book. This website is an attempt to fill this missing void.
Link: https://ggplot2-book-solutions-3ed.netlify.app/index.html
12.18 The Hitchhiker’s Guide to Ggplot2
by Mauricio Vargas Sepúlveda, Jodie Burchell
This book will help you master R plots the easy way. We have spent a long time creating R plots with different tools (base, lattice and ggplot2) during different academic and working positions. If you want to create highly customised plots in R, including replicating the styles of XKCD, The Economist or FiveThirtyEight, this is your book.
Paid: Pay what you want, minimum $5 $10
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