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 more than 200 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.

2017年的新书呀，D3 4.x以及ES2017!! 2017年的新书呀，D3 4.x以及ES2017!!

Welcome to D3.js 4.x Data Visualization, Third Edition. Over the course of this book, you’ll learn the basics of one of the world’s most ubiquitous and powerful data visualization libraries, but we don’t stop there. By the end of our time together, you’ll have all the skills you need to become a total D3 ninja, and will be able to do everything from build visualizations from scratch straight through to using it on the server and writing automated tests. If you haven’t leveled up your JavaScript skills in a while, you’re in for a treat--this book endeavors to use the latest features currently being added to the language, all the while explaining why they’re cool and how they differ from "old school" JavaScript.