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Data + journalism = a story-driven a...

Reilley, Mike, (1965-)

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Data + journalism = a story-driven approach to learning data reporting /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data + journalism/ Mike Reilley and Samantha Sunne.
其他題名:	a story-driven approach to learning data reporting /
作者:	Reilley, Mike,
其他作者:	Sunne, Samantha,
出版者:	New York :Routledge, : 2023.,
面頁冊數:	1 online resource (251 p.)
內容註:	Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Tables -- List of Figures -- Acknowledgments -- Introduction: The Power of Data Storytelling -- 1 Acquiring Data -- 2 Searching the Deep Web -- 3 Scraping Data -- 4 Cleaning Data -- 5 Basic Spreadsheets -- 6 Advanced Spreadsheets and R -- 7 Writing a Data Story -- 8 SQL -- 9 Scraping Social Media -- 10 Data Visualization -- 11 Ethics, Trust, Transparency and Posting Data Online -- 12 Math for Journalists: Writing with Numbers -- Index
標題:	Journalism - Data processing. -
電子資源:	https://www.taylorfrancis.com/books/9781003273301
ISBN:	9781003273301

Data + journalism = a story-driven approach to learning data reporting /
Reilley, Mike,1965-

Data + journalisma story-driven approach to learning data reporting /[electronic resource] :Mike Reilley and Samantha Sunne. - New York :Routledge,2023. - 1 online resource (251 p.)

Includes bibliographical references and index.

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Tables -- List of Figures -- Acknowledgments -- Introduction: The Power of Data Storytelling -- 1 Acquiring Data -- 2 Searching the Deep Web -- 3 Scraping Data -- 4 Cleaning Data -- 5 Basic Spreadsheets -- 6 Advanced Spreadsheets and R -- 7 Writing a Data Story -- 8 SQL -- 9 Scraping Social Media -- 10 Data Visualization -- 11 Ethics, Trust, Transparency and Posting Data Online -- 12 Math for Journalists: Writing with Numbers -- Index

"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"--

ISBN: 9781003273301Subjects--Topical Terms:

601911
Journalism
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: PN4784.E5 / R45 2023eb

Dewey Class. No.: 070.4/0285

Data + journalism = a story-driven approach to learning data reporting /
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505 0 $a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Tables -- List of Figures -- Acknowledgments -- Introduction: The Power of Data Storytelling -- 1 Acquiring Data -- 2 Searching the Deep Web -- 3 Scraping Data -- 4 Cleaning Data -- 5 Basic Spreadsheets -- 6 Advanced Spreadsheets and R -- 7 Writing a Data Story -- 8 SQL -- 9 Scraping Social Media -- 10 Data Visualization -- 11 Ethics, Trust, Transparency and Posting Data Online -- 12 Math for Journalists: Writing with Numbers -- Index
520 $a "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"-- $c Provided by publisher.
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