Visualizing Biological Data with ggplot2
Series: Chapman & Hall/CRC Computational Biology Series;
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 31 August 2026
- ISBN 9781032894430
- Binding Paperback
- No. of pages250 pages
- Size 254x178 mm
- Weight 453 g
- Language English
- Illustrations 1 Illustrations, black & white; 136 Illustrations, color; 1 Line drawings, black & white; 136 Line drawings, color; 2 Tables, black & white 700
Categories
Short description:
We are currently living in an era where technology is constantly advancing, which leads to the generation of large volumes and types of data.
MoreLong description:
We are currently living in an era where technology is constantly advancing, which leads to the generation of large volumes and many types of data. Consequently, the ability to transform complex data into clear and attractive visualizations has become essential. Visualizing Biological Data with ggplot2 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 this 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.
MoreTable of Contents:
Section I: Foundations
Chapter 1: The Science and Art of Data Visualization
Chapter 2: Introduction: Let's Talk about R and RStudio
Chapter 3: The Tidyverse
Section II: Let's Visualize Our Data
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
Section III: Tips and Strategies for Figure Design
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
Section IV: Additional Topics
Chapter 13: Interactive plots
Chapter 14: Export your plots
Appendix A: Exploring more about R
Appendix B: Markdown Tables
Appendix C: Tools for Scientific Illustrations
More
