Abedin / V. Mittal R Graphs Cookbook Second Edition

Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
2. Auflage 2025
ISBN: 978-1-78398-879-2
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 368 Seiten

Key FeaturesBook 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

Autoren/Hrsg.

Abedin, Jaynal

V. Mittal, Hrishi

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

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 [e-mail], 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.