We are currently living in an era where technology is constantly advancing, which leads to the generation of large volumes and types of data. Therefore, the ability to transform complex data into clear and attractive visualizations has become essential. This book encourages readers to explore the power of visualization in biology, combining science and art to communicate findings clearly.
The first part of the book begins with a general overview of data visualization and then guides readers through the use of the R language, especially its visualization package called ggplot2. In the second part, the author introduces the creation of different visualizations, from basic graphs and tables to more complex representations such as phylogenetic trees, heat maps, and geographic maps, among others. Subsequently, in the third section, tips and strategies for optimizing the design of your graphs are presented. Finally, the author addresses the creation of interactive visualizations and explains the various options available for exporting and sharing your visualizations.
Features:
⦁ Introduction to data visualization
⦁ Explains the basics of R and its suite of packages called tidyverse
⦁ Tutorial on ggplot2 to create a wide range of graph types
⦁ Advice on when to avoid certain types of visualization which can lead to errors or confusion in the interpretation of results
⦁ Strategies for customizing charts, ready for publication
⦁ Numerous examples based on real biological data, which facilitate the practical application of the concepts learned
With a wide variety of biological examples and practical exercises, allowing readers to consolidate knowledge throughout the book, Visualizing Biological Data with ggplot2 is perfect for experienced students and researchers, while also serving as a graphic guide for anyone wishing to transform their data into visualizations.
Table of Contents:
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
About the Author :
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.
