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The Data Journalist: Getting the Story is the definitive introduction to using data and technology in reporting for both journalism students and working practitioners. The text covers both the basics and more advanced techniques, discussing what data is, where it is stored, how it can be used, and, ultimately, how it can drive incredible journalism. Covering all of the major methods used by modern journalists, including current and cutting-edge technologies such as Google Fusion Tables, ArcMap, and Ruby on Rails, The Data Journalist demonstrates how to tell stories with data and how to combine the results of data analysis with traditional reporting. This engaging overview of the field pairs the theory and principles behind each method with examples drawn from top stories from around the world. It walks readers through the key techniques using detailed overviews paired with instructive online tutorials, offering readers both a theoretical and practical approach to incorporating data journalism into all media. Written in an accessible manner and suited for use by students and journalists alike, The Data Journalist is an invaluable guide to combining the results of data analysis with traditional reporting to create compelling journalism.
This text investigates how journalists can effectively integrate data analysis and modern technological tools into traditional reporting practices to produce high-impact stories. Authors Fred Vallance-Jones and David McKie provide a comprehensive framework that bridges the gap between raw data collection and narrative storytelling. By combining theoretical principles with practical application, the book serves as a manual for navigating the digital landscape of contemporary newsrooms. The authors draw upon global case studies to demonstrate how quantitative analysis can strengthen investigative reporting.
What You Will Find
Professionals and educators frequently cite this text as a foundational resource for understanding the intersection of data literacy and news gathering. The consensus among practitioners is that the book provides a balanced approach, making complex technical concepts accessible to those without a background in computer science.
Page Count:
320
Publication Date:
2017-03-01
Publisher:
Oxford University Press
ISBN-10:
019902006X
ISBN-13:
9780199020065
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