R for Journalists
Tools for using and learning R, mostly for computational and data journalists, but everyone's welcome!
Curated by M. Edward (Ed) Borasky
Sometimes you just need the salient text from a web site, often as a first step towards natural language processing (NLP) or classification. There are many ways to achieve this, but XSLT (eXtensible Stylesheet Language) was purpose-built for slicing, dicing and transforming XML (and, hence, HTML) so, it can make ...
Digital data from the political sphere is abundant, omnipresent, and more and more directly accessible through the Internet. Project Vote Smart (PVS) is a prominent example of this big public data and covers various aspects of U.S. politics in astonishing detail. Despite the vast potential of PVS’ data for political science, economics, and sociology, it is hardly used in empirical research. The systematic compilation of semi-structured data can be complicated and time consuming as the data form
Today I am happy to announce a new free email course: Mapping Census Data in R. You can sign up via the form at the bottom of this post. The course is designed to provide similar information to what I covered in my tutorial Analyzing US Census Data with R. In short, it will teach you how to create …