Data + Journalism: A Story-Driven Approach to Learning Data Reporting (en Inglés) - Mike Reilley

In this second edition Data + Journalism continues to be a practical guide for journalists working with data and reporting data-driven stories.

The second edition of this popular text has been updated to include expanded coverage of artificial intelligence uses, revised sections on social media scraping and writing code, and new examples, tipsheets and training videos throughout. Also new to the book is expanded guidance on diversifying sources, finding accurate datapoints and including a multitude of voices.This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from around the world. With examples drawn from frequently updated sets of open data posted by authoritative sources like the IMF, Eurostat and the US Census Bureau, the book takes a deep dive into data journalism’s "heavy lifting" – searching for, scraping, and cleaning data. It again features useful resources at the end of each chapter, such as exercises and video training supplements, that help readers learn how to craft compelling, human-driven news stories based on solid analysis.

Data + Journalism, Second Edition is essential reading for reporting, data journalism, investigative and public records courses at the sophomore to graduate level and for early career professionals seeking a comprehensive introduction to data journalism skills.

This book is supported at DataPlusJournalism.com, with updated tools, formulas, best practices and book updates post-production.