0.1 What you will learn
Data visualization is one of the most important part of data science. Many
books and courses present a catalogue of graphics but they don't teach you
which charts to use according to the type of the data.
In this book, we start by presenting the key graphic systems and packages
available in R, including R base graphs, lattice and ggplot2 plotting systems.
Next, we provide practical examples to create great graphics for the right data
using either the ggplot2 package and extensions or the traditional R graphics.
With this book, you 'll learn:
How to quickly create beautiful graphics using ggplot2 packages
How to properly customize and annotate the plots
Type of graphics for visualizing categorical and continuous variables
How to add automatically p-values to box plots, bar plots and
alternatives
How to add marginal density plots and correlation coefficients to scatter
plots
Key methods for analyzing and visualizing multivariate data
R functions and packages for plotting time series data
How to combine multiple plots on one page to create production-quality
figures.
评论0