R Graphics Essentials For Great Data Visualization
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Author | : Alboukadel Kassambara |
Publisher | : STHDA |
Total Pages | : 155 |
Release | : 2017-11-14 |
Genre | : Computers |
ISBN | : 1979748101 |
Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems. Next, we provide more than 200 practical examples to create great graphics for the right data using either the ggplot2 package and extensions or the traditional R graphics. With this book, you 'll learn: - How to quickly create beautiful graphics using ggplot2 packages - How to properly customize and annotate the plots - Type of graphics for visualizing categorical and continuous variables - How to add automatically p-values to box plots, bar plots and alternatives - How to add marginal density plots and correlation coefficients to scatter plots - Key methods for analyzing and visualizing multivariate data - R functions and packages for plotting time series data - How to combine multiple plots on one page to create production-quality figures.
Author | : Alboukadel Kassambara |
Publisher | : Independently Published |
Total Pages | : 94 |
Release | : 2019-11-15 |
Genre | : |
ISBN | : 9781708503208 |
GGPlot2 is a powerful and a flexible R package for producing elegant graphics piece by piece. It has become a popular package for data visualization. This book presents the essentials of ggplot2 to easily create beautiful graphics in R.Key features: - Covers the most important graphic functions- Short, self-contained chapters with practical examples.
Author | : Thomas Rahlf |
Publisher | : Springer Nature |
Total Pages | : 461 |
Release | : 2019-11-23 |
Genre | : Computers |
ISBN | : 3030284441 |
This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.
Author | : Hadley Wickham |
Publisher | : Springer Science & Business Media |
Total Pages | : 211 |
Release | : 2009-10-03 |
Genre | : Computers |
ISBN | : 0387981411 |
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures
Author | : Claus O. Wilke |
Publisher | : O'Reilly Media |
Total Pages | : 390 |
Release | : 2019-03-18 |
Genre | : Computers |
ISBN | : 1492031054 |
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
Author | : Leland Wilkinson |
Publisher | : Springer Science & Business Media |
Total Pages | : 415 |
Release | : 2013-03-09 |
Genre | : Computers |
ISBN | : 1475731000 |
Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.
Author | : Deepayan Sarkar |
Publisher | : Springer Science & Business Media |
Total Pages | : 283 |
Release | : 2008-02-15 |
Genre | : Mathematics |
ISBN | : 0387759697 |
Written by the author of the lattice system, this book describes lattice in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics.
Author | : Winston Chang |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 414 |
Release | : 2013 |
Genre | : Computers |
ISBN | : 1449316956 |
"Practical recipes for visualizing data"--Cover.
Author | : Atmajitsinh Gohil |
Publisher | : Packt Publishing Ltd |
Total Pages | : 236 |
Release | : 2015-01-29 |
Genre | : Computers |
ISBN | : 1783989513 |
If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
Author | : Hadley Wickham |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 521 |
Release | : 2016-12-12 |
Genre | : Computers |
ISBN | : 1491910364 |
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results