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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data + journalism/ Mike Reilley and Samantha Sunne.
Reminder of title:	a story-driven approach to learning data reporting /
Author:	Reilley, Mike,
other author:	Sunne, Samantha,
Published:	New York :Routledge, : 2023.,
Description:	1 online resource (251 p.)
[NT 15003449]:	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
Subject:	Journalism - Data processing. -
Online resource:	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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100 1 $a Reilley, Mike, $d 1965- $3 3794030
245 1 0 $a Data + journalism $h [electronic resource] : $b a story-driven approach to learning data reporting / $c Mike Reilley and Samantha Sunne.
260 $a New York : $b Routledge, $c 2023.
300 $a 1 online resource (251 p.)
504 $a Includes bibliographical references and index.
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.
650 0 $a Journalism $x Data processing. $3 601911
650 0 $a Data mining. $3 562972
650 7 $a LANGUAGE ARTS & DISCIPLINES / Communication $2 bisacsh $3 3730428
650 7 $a LANGUAGE ARTS & DISCIPLINES / Journalism $2 bisacsh. $3 1309290
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Sunne, Samantha, $d 1991- $3 3794031
856 4 0 $u https://www.taylorfrancis.com/books/9781003273301