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Data + Journalism: A Story-Driven Approach to Learning Data Reporting

Autor Mike Reilley, Samantha Sunne
en Limba Engleză Hardback – 28 iul 2026
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.

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Specificații

ISBN-13: 9781041160519
ISBN-10: 1041160518
Pagini: 258
Ilustrații: 234
Dimensiuni: 156 x 234 mm
Ediția:2
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Public țintă

Undergraduate Advanced and Undergraduate Core

Cuprins

New to This Edition
 
Acknowledgements
 
Introduction
Mike Reilley
 
Chapter 1: Acquiring Data
Mike Reilley
 
Chapter 2: Searching the Deep Web
Samantha Sunne
 
Chapter 3: Scraping Data
Mike Reilley and Samantha Sunne
 
Chapter 4: Cleaning Data
Samantha Sunne
 
Chapter 5: Basic Spreadsheets | AI Analysis
Mike Reilley
 
Chapter 6: Advanced Spreadsheets
Samantha Sunne
 
Chapter 7: Writing a Data Story
Mike Reilley
 
Chapter 8: Analyzing with Code
Samantha Sunne
 
Chapter 9: Scraping Social Media
Samantha Sunne
 
Chapter 10: Data Visualization
Mike Reilley
 
Chapter 11: Ethics, Trust, Transparency and Posting Data Online
Mike Reilley
 
Chapter 12: Math for Journalists: Writing with Numbers
Mike Reilley
 
Addendum

Notă biografică

Mike Reilley is a Senior Lecturer in Communication at The University of Illinois Chicago, USA. He is also the author of The Journalist’s Toolbox: A Guide to Digital Reporting and AI.
Samantha Sunne is a freelance journalist based in New Orleans. She is the recipient of several national grants and awards for investigative reporting, and has worked with publications including ProPublica, the Poynter Institute and The Washington Post.

Descriere

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