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

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.

List of contents

Introduction
Chapter 1: Acquiring Data
Chapter 2: Searching the Deep Web
Chapter 3: Scraping Data
Chapter 4: Cleaning Data
Chapter 5: Basic Spreadsheets
Chapter 6: Advanced Spreadsheets and R
Chapter 7: Writing a Data Story
Chapter 8: SQL
Chapter 9: Scraping Social Media
Chapter 10: Data Visualization
Chapter 11: Ethics, Trust, Transparency and Posting Data Online
Chapter 12: Math for Journalists: Writing with Numbers

About the author

Mike Reilley teaches data and digital journalism at the University of Illinois at Chicago. He founded the digital resources site JournalistsToolbox.org in 1996 and continues to update it today for the Society of Professional Journalists.
Samantha Sunne teaches data and digital techniques to journalists at universities and other groups including the Society of Professional Journalists, Hunter College-CUNY and Investigative Reporters and Editors. She is a long-time journalism freelancer specializing in data and investigative stories.

Summary

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.

Product details

• Authors: Mike Reilley, Mike Sunne Reilley, Samantha Sunne
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 30.12.2022
• EAN: 9781032226125
• ISBN: 978-1-0-3222612-5
• No. of pages: 236
• Subjects: Humanities, art, music > History; Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Business > Individual industrial sectors, branches; History, Media Studies, LANGUAGE ARTS & DISCIPLINES / Journalism, LANGUAGE ARTS & DISCIPLINES / Communication Studies, computer science, Press & journalism, Humanities, News media and journalism, Databases