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

Mike Reilley - Personal Name; Samantha Sunne - Personal Name;

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


Availability
#
Ilmu Komunikasi (Database SLIMS) Location name is not set
KOM.2024.04.01
Available
Detail Information
Series Title
-
Call Number
-
Publisher
New York : Routledge., 2023
Collation
1 online resource (251 pages)
Language
Indonesia
ISBN/ISSN
9781032225913
Classification
-
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Data mining
Journalism Data processing
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
  • Fulltext - eBook
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