R is a powerful, open-source programming language and environment. R excels at data management and munging, traditional statistical analysis, machine learning, and reproducible research, but it is probably best known for its graphics. This guide contains examples and instructions for popular and lesser-known plotting techniques in R. It also includes instructions for using urbnthemes, the Urban Institute’s R package for creating near-publication-ready plots with ggplot2.
Data visualizations are like narratives: they suggest interpretations, but don't require them. A good data visualization, in fact, lets you see things the interpreter might have missed. This should make data visualization especially appealing to historians. Much of the historian's art is turning dull information into compelling narrative; visualization is useful for us because it suggests new ways of making interesting the stories we've been telling all along. In particular: data visualization lets us make historical structures immediately accessible in the same way that narratives have let us do so for stories about individual agents.
Quartz is known for being a bit obsessed with charts, so we asked members of our editorial staff to submit their favorite charts produced in 2012. What "favorite" means was left to the beholder. Here are the results
The air in Chinese cities is getting worse, and these animations show just hot severe the problem has become.
A comparison of how often speakers at the two presidential nominating conventions used different words and phrases, based on an analysis of transcripts from the Federal News Service.