"This textbook will raise the educational bar for data journalism. . . . This is an important and essential addition to the rapidly expanding academic field of data journalism. I would highly recommend that this be a core text for all journalism programs." --Jeffrey A. Dvorkin, University of Toronto "The authors are magnificent." --Ellen Russell, Wilfrid Laurier University "The step-by-step instruction and sample datasets will be a great starting point for students to delve into data journalism. . . . More journalists need to be data savvy, and this textbook offers examples and steps to get there." --Cheryl Vallender, Sheridan College

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.
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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. It covers both the basics and more advanced techniques, discussing what data is, where it is stored, and how it can be used to create engaging journalism.
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PART I INTRODUCTION; PART II ADVANCED TOPICS
"This textbook will raise the educational bar for data journalism. . . . This is an important and essential addition to the rapidly expanding academic field of data journalism. I would highly recommend that this be a core text for all journalism programs." --Jeffrey A. Dvorkin, University of Toronto "The authors are magnificent." --Ellen Russell, Wilfrid Laurier University "The step-by-step instruction and sample datasets will be a great starting point for students to delve into data journalism. . . . More journalists need to be data savvy, and this textbook offers examples and steps to get there." --Cheryl Vallender, Sheridan College
Les mer
"This textbook will raise the educational bar for data journalism. . . . This is an important and essential addition to the rapidly expanding academic field of data journalism. I would highly recommend that this be a core text for all journalism programs." --Jeffrey A. Dvorkin, University of Toronto "The authors are magnificent." --Ellen Russell, Wilfrid Laurier University "The step-by-step instruction and sample datasets will be a great starting point for students to delve into data journalism. . . . More journalists need to be data savvy, and this textbook offers examples and steps to get there." --Cheryl Vallender, Sheridan College
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Authored by award-winning Canadian journalists, Fred Vallance-Jones and David McKie. Balance of theoretical and practical coverage from the history and ideas behind data journalism to the programs and tools used in the field. The most recent techniques and technology - including Google Fusion Tables, ArcMap, and Ruby on Rails - give students a completely up-to-date look at the practical needs of the industry. Boxed features in each chapter guide students through step-by-step instructions on the functions of the programs discussed in the text. Online tutorials provide practical lessons on how to use various programs to complete real-life assignments in the field of journalism.
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Fred Vallance-Jones is an award-winning journalist and an associate professor at the University of King's College. He teaches journalism research and data and investigative journalism at the masters and undergraduate levels, and continues to lead students in large data-driven investigative projects. He leads an annual data journalism summer school at King's that attracts working journalists from across Canada, and has been teaching data journalism at journalism conferences for many years. As well as co-authoring Computer Assisted Reporting: A Comprehensive Primer he is co-author of Oxford's Digging Deeper: A Canadian Reporter's Research Guide. David McKie is an award-winning journalist, journalism professor, and author. He has been on staff with the CBC for 20 years, and teaches two courses in research methods and data journalism at Carleton University. He designed and teaches similar courses at Algonquin College and the University of King's College. Throughout his 20-year teaching career, David has been one of the country's leading advocates of the need to teach data journalism skills to students. He is co-author of Computer Assisted Reporting: A Comprehensive Primer and Digging Deeper: A Canadian Reporter's Research Guide.
Les mer
Authored by award-winning Canadian journalists, Fred Vallance-Jones and David McKie. Balance of theoretical and practical coverage from the history and ideas behind data journalism to the programs and tools used in the field. The most recent techniques and technology - including Google Fusion Tables, ArcMap, and Ruby on Rails - give students a completely up-to-date look at the practical needs of the industry. Boxed features in each chapter guide students through step-by-step instructions on the functions of the programs discussed in the text. Online tutorials provide practical lessons on how to use various programs to complete real-life assignments in the field of journalism.
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Produktdetaljer

ISBN
9780199020065
Publisert
2016
Utgiver
Vendor
Oxford University Press, Canada
Vekt
378 gr
Høyde
229 mm
Bredde
154 mm
Dybde
15 mm
Aldersnivå
UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
320

Om bidragsyterne

Fred Vallance-Jones is an award-winning journalist and an associate professor at the University of King's College. He teaches journalism research and data and investigative journalism at the masters and undergraduate levels, and continues to lead students in large data-driven investigative projects. He leads an annual data journalism summer school at King's that attracts working journalists from across Canada, and has been teaching data journalism at journalism conferences for many years. As well as co-authoring Computer Assisted Reporting: A Comprehensive Primer he is co-author of Oxford's Digging Deeper: A Canadian Reporter's Research Guide. David McKie is an award-winning journalist, journalism professor, and author. He has been on staff with the CBC for 20 years, and teaches two courses in research methods and data journalism at Carleton University. He designed and teaches similar courses at Algonquin College and the University of King's College. Throughout his 20-year teaching career, David has been one of the country's leading advocates of the need to teach data journalism skills to students. He is co-author of Computer Assisted Reporting: A Comprehensive Primer and Digging Deeper: A Canadian Reporter's Research Guide.