finelybook
Applied Data Visualization with R and ggplot2: Create useful,elaborate,and visually appealing plots
Authors: Dr. Tania Moulik
ISBN-10 书号: 1789612152
ISBN-13 书号: 9781789612158
Publisher Finelybook 出版日期: 2018-09-28
pages 页数: 140 pages
Book Description
Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with,you’ll learn how to set up the R environment,followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques.
You’ll discover what layers,scales,coordinates,and themes are,and study how you can use them to transform your data into aesthetical graphs. Once you’ve grasped the basics,you’ll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You’ll also get to grips with plotting trends,correlations,and statistical summaries.
By the end of this book,you’ll have created data visualizations that will impress your clients.
Contents
1: BASIC PLOTTING IN GGPLOT2
2: GRAMMAR OF GRAPHICS AND VISUAL COMPONENTS
3: ADVANCED GEOMS AND STATISTICS
What you will learn
Set up the R environment,RStudio,and understand structure of ggplot2
Distinguish variables and use best practices to visualize them
Change visualization defaults to reveal more information about data
Implement the grammar of graphics in ggplot2 such as scales and faceting
Build complex and aesthetic visualizations with ggplot2 analysis methods
Logically and systematically explore complex relationships
Compare variables in a single visual,with advanced plotting methods
Authors
Dr. Tania Moulik
Dr. Tania Moulik has a PhD in particle physics. She worked at CERN and the Tevatron at Fermi National Accelerator Laboratory in IL,USA. She has worked with C++,Python,and R. She also worked in big data projects and grid computing. She has a passion for data analysis and likes to share her knowledge with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package.
