Visualizing Biological Data with ggplot2

1. Auflage 2026
ISBN: 978-1-032-89443-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 400 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 453 g

Reihe: Chapman & Hall/CRC Computational Biology Series

We are currently living in an era where technology is constantly advancing, which leads to the generation of large volumes and types of data.

Zielgruppe

Academic, Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

G. Vilchez, William

Fachgebiete

• Naturwissenschaften Biowissenschaften Molekularbiologie
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)

Inhaltsverzeichnis

Chapter 1: The Science and Art of Data Visualization

Chapter 2: Introduction: Let's talk about R and RStudio

Chapter 3: The tidyverse

Chapter 4: Plots with a continuous X variable

Chapter 5: Plots with two or more continuous variables

Chapter 6: Plots with two variables X - Y: discrete X and continuous Y

Chapter 7: Other plots and tables

Chapter 8: Labels

Chapter 9: Use of color palette

Chapter 10: Graphics to avoid

Chapter 11: Split-panel figures

Chapter 12: Additional changes to the design of your plot

Chapter 13: Interactive plots

Chapter 14: Export your plots

Über Autor(innen)

William Guillermo Vilchez Cruz holds a bachelor’s degree in Biological Sciences from the Pedro Ruiz Gallo National University, located in Lambayeque, Peru. He is currently pursuing a master’s degree in Cellular and Molecular Biology at the University of São Paulo2 (USP) in Brazil. Prior to entering USP, he worked as a laboratory assistant in the Molecular Biology course at his alma mater, an experience that gave him the opportunity to collaborate on various student-led research projects. Based on these academic experiences and motivated by the challenges faced by many researchers and students in representing complex data clearly and effectively, this book emerges as a proposal aimed at improving data visualization skills through the use of the ggplot2 package of the R language.