R Graphs Cookbook Second Edition
Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
2nd Edition
Published on 7. October 2025
368 pages
978-1-78398-879-2 (ISBN)
Description
Key Features
Book DescriptionTargeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.What you will learn
Create diverse types of bar charts using the default R functions
Produce and customize density plots and histograms with lattice and ggplot2
Visualize frequency tabulated data with interactive and beautiful graphs
Inspect large datasets by simultaneously visualizing numeric and categorical variables in a single plot
Construct multiple graph matrix layouts
Annotate graphs using ggplot2
Construct various types of threedimensional plots using threedimensional visualizations
Who this book is for
Book DescriptionTargeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.What you will learn
Create diverse types of bar charts using the default R functions
Produce and customize density plots and histograms with lattice and ggplot2
Visualize frequency tabulated data with interactive and beautiful graphs
Inspect large datasets by simultaneously visualizing numeric and categorical variables in a single plot
Construct multiple graph matrix layouts
Annotate graphs using ggplot2
Construct various types of threedimensional plots using threedimensional visualizations
Who this book is for
All prices
More details
Edition
2nd Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Revised edition
File size
3,54 MB
ISBN-13
978-1-78398-879-2 (9781783988792)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jaynal Abedin
R Graph Cookbook - Second Edition
Book
10/2014
Packt Publishing
€69.60
Shipment within 3-4 weeks
Persons
Abedin Jaynal :
Jaynal Abedin currently holds the position of Statistician at the Centre for Communicable Diseases (CCD) at icddr,b ( www.icddrb.org). He attained his Bachelor's and Master's degrees in Statistics from the University of Rajshahi, Rajshahi, Bangladesh. He has vast experience in R programming and Stata and has efficient leadership qualities. He is currently leading a team of statisticians. He has hands-on experience in developing training material and facilitating training in R programming and Stata along with statistical aspects in public health research. His primary area of interest in research includes causal inference and machine learning. He is currently involved in several ongoing public health research projects and is a co-author of several work-in-progress manuscripts. In the useR! Conference 2013, he presented a poster-edeR: Email Data Extraction using R, available at http://www.edii.uclm.es/~useR-2013/abstracts/files/34_edeR_Email_Data_Extraction_using_R.pdf-and obtained the best application poster award. He is also involved in reviewing scientific manuscripts for the Journal of Applied Statistics (JAS) and the Journal of Health Population and Nutrition (JHPN). He is also a successful freelance statistician on online platforms and has an excellent reputation through his high-quality work, especially in R programming. He can be contacted at joystatru@gmail.com, http://bd.linkedin.com/in/jaynal; his Twitter handle is @jaynal83.V. Mittal Hrishi :
Hrishi V. Mittal has been working with R for a few years in different capacities. He was introduced to the exciting world of data analysis with R when he was working as a senior air quality scientist at King's College, London, where he used R extensively to analyze large amounts of air pollution and traffic data for London's Mayor's Air Quality Strategy. He has experience in various other programming languages but prefers R for data analysis and visualization. He is also actively involved in various R mailing lists, forums, and the development of some R packages.
Jaynal Abedin currently holds the position of Statistician at the Centre for Communicable Diseases (CCD) at icddr,b ( www.icddrb.org). He attained his Bachelor's and Master's degrees in Statistics from the University of Rajshahi, Rajshahi, Bangladesh. He has vast experience in R programming and Stata and has efficient leadership qualities. He is currently leading a team of statisticians. He has hands-on experience in developing training material and facilitating training in R programming and Stata along with statistical aspects in public health research. His primary area of interest in research includes causal inference and machine learning. He is currently involved in several ongoing public health research projects and is a co-author of several work-in-progress manuscripts. In the useR! Conference 2013, he presented a poster-edeR: Email Data Extraction using R, available at http://www.edii.uclm.es/~useR-2013/abstracts/files/34_edeR_Email_Data_Extraction_using_R.pdf-and obtained the best application poster award. He is also involved in reviewing scientific manuscripts for the Journal of Applied Statistics (JAS) and the Journal of Health Population and Nutrition (JHPN). He is also a successful freelance statistician on online platforms and has an excellent reputation through his high-quality work, especially in R programming. He can be contacted at joystatru@gmail.com, http://bd.linkedin.com/in/jaynal; his Twitter handle is @jaynal83.V. Mittal Hrishi :
Hrishi V. Mittal has been working with R for a few years in different capacities. He was introduced to the exciting world of data analysis with R when he was working as a senior air quality scientist at King's College, London, where he used R extensively to analyze large amounts of air pollution and traffic data for London's Mayor's Air Quality Strategy. He has experience in various other programming languages but prefers R for data analysis and visualization. He is also actively involved in various R mailing lists, forums, and the development of some R packages.
Content
Table of Contents
R Graphics
Visualization using lattice
Visualization using ggplot2
Inspecting large dataset via visualizations
Three dimensional visualization
R Graphics
Visualization using lattice
Visualization using ggplot2
Inspecting large dataset via visualizations
Three dimensional visualization
