Data-Driven Storytelling: A Guide to R-Based Data Journalism

Abstract

This book is designed to help aspiring data journalists understand the key concepts associated with data-driven storytelling and begin using R, a data science tool, to make sense of real-world data. The book begins by explaining the role that data can play in journalism and describing different data formats that journalists regularly encounter. Then, it offers a gentle introduction to R, explaining how the tool works and offering hands-on tutorials that show how it can be used in a journalistic way. The book then offers some tips on how to find datasets, incorporate humans into data-driven stories, and produce stories through different kinds of narrative structures. The book concludes with a primer on graphic design and by offering hands-on tutorials on how to use different data visualization tools to product journalistic visualizations.

Type
Rodrigo Zamith
Rodrigo Zamith
Associate Professor

My research and teaching interests lie at the intersection of journalism and technology, with a focus on the reconfiguration of journalism in a changing media environment and the development of digital research methods for social scientists.