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

  • Formāts: 250 pages
  • Izdošanas datums: 30-Dec-2022
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9781000811933
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  • Cena: 42,57 €*
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  • Formāts: 250 pages
  • Izdošanas datums: 30-Dec-2022
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9781000811933

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

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



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

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.

List of Tables
ix
List of Figures
x
Acknowledgments xiii
Introduction: The Power of Data Storytelling 1(8)
1 Acquiring Data
9(19)
Mike Reilley
2 Searching the Deep Web
28(21)
Samantha Sunne
3 Scraping Data
49(22)
Mike Reilley
Samantha Sunne
4 Cleaning Data
71(15)
Samantha Sunne
5 Basic Spreadsheets
86(22)
Mike Reilley
6 Advanced Spreadsheets and R
108(19)
Samantha Sunne
7 Writing a Data Story
127(14)
Mike Reilley
8 SQL
141(19)
Samantha Sunne
9 Scraping Social Media
160(20)
Samantha Sunne
10 Data Visualization
180(19)
Mike Reilley
11 Ethics, Trust, Transparency and Posting Data Online
199(18)
Mike Reilley
12 Math for Journalists: Writing with Numbers
217(14)
Mike Reilley
Index 231
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.