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

This book provides a comprehensive guide to data journalism, covering topics such as data searching, cleaning, and scraping from a journalist's perspective. It is taught at BA and MA level in most journalism degrees worldwide and is written by a leading authority in the field, Mike Reilley.

Format: Paperback / softback
Length: 236 pages
Publication date: 30 December 2022
Publisher: Taylor & Francis Ltd

Data Journalism is a rapidly growing field that encompasses not only the basics of storytelling with data but also the more complex issues of data searching, cleaning, and scraping from a journalist's perspective. It is increasingly being taught at both the undergraduate and graduate levels on most Journalism degrees around the world, both as compulsory and elective modules.

One of the leading authorities in this area is Mike Reilley, who founded the Journalist's Toolbox newsletter, which shares digital and data tools and has over 51,000 followers on Twitter. His name will undoubtedly draw a lot of attention to this book, as it will provide valuable insights and techniques for journalists looking to incorporate data into their reporting.

The book covers a wide range of topics, including how to find and evaluate data sources, how to clean and manipulate data, and how to use data visualization tools to communicate findings effectively. It also includes case studies and examples from real-world journalism projects, demonstrating the practical applications of data journalism techniques.

Whether you are a seasoned journalist or a newcomer to the field, Data Journalism is an essential resource for anyone looking to stay ahead of the curve in the rapidly evolving world of digital media. It will help you develop the skills and knowledge needed to uncover hidden stories, analyze data, and communicate your findings in a compelling and engaging way.

Weight: 412g
Dimension: 233 x 155 x 14 (mm)
ISBN-13: 9781032225913