2nd Edition

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

By Mike Reilley, Samantha Sunne Copyright 2027
258 Pages 117 B/W Illustrations
by Routledge

258 Pages 117 B/W Illustrations
by Routledge

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... Read more

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

Biography

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.