Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
Targeted 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.
Data visualization is one of the most important tasks in the data science track. Through effective visualization, we can easily uncover underlying patterns among variables without doing any sophisticated statistical analysis.
Starting with a high-level overview of the R graphics system and then moving through this practical cookbook, you will leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. Through inspecting large datasets using tableplot and stunning three-dimensional visualizations, you will know how to produce, customize, and publish advanced visualizations using this popular, and powerful, framework.
Chapter 1. R Graphics
Chapter 2. Basic Graph Functions
Chapter 3. Beyond the Basics – Adjusting Key Parameters
Chapter 4. Creating Scatter Plots
Chapter 5. Creating Line Graphs and Time Series Charts
Chapter 6. Creating Bar, Dot, and Pie Charts
Chapter 7. Creating Histograms
Chapter 8. Box and Whisker Plots
Chapter 9. Creating Heat Maps and Contour Plots
Chapter 10. Creating Maps
Chapter 11. Data Visualization Using Lattice
Chapter 12. Data Visualization Using ggplot2
Chapter 13. Inspecting Large Datasets
Chapter 14. Three-dimensional Visualizations
Chapter 15. Finalizing Graphs for Publications and Presentations
