Data + Journalism: A Story-Driven Approach to Learning Data Reporting
Autor Mike Reilley, Samantha Sunneen Limba Engleză Paperback – 30 dec 2022
This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from countries around the world. Emphasized by examples drawn from frequently updated sets of open data posted by authoritative sources like the FBI, Eurostat and the US Census Bureau, the authors take a deep dive into data journalism’s "heavy lifting" – searching for, scraping and cleaning data. Combined with exercises, video training supplements and lists of tools and resources at the end of each chapter, readers will learn not just how to crunch numbers but also how to put a human face to data, resulting in compelling, story-driven news stories based on solid analysis.
Written by two experienced journalists and data journalism teachers, Data + Journalism is essential reading for students, instructors and early career professionals seeking a comprehensive introduction to data journalism skills.
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Specificații
ISBN-13: 9781032225913
ISBN-10: 1032225912
Pagini: 250
Ilustrații: 2 Tables, black and white; 126 Halftones, black and white; 126 Illustrations, black and white
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.42 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 1032225912
Pagini: 250
Ilustrații: 2 Tables, black and white; 126 Halftones, black and white; 126 Illustrations, black and white
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.42 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Public țintă
Postgraduate and Undergraduate CoreCuprins
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
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
Notă biografică
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.
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.
Descriere
Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.