Now in its sixth edition, Data for Journalists is a straightforward and effective guide to using data for news stories. This concise textbook addresses all the key basic skills that data journalists need, including how to find and scrape data, how to build a database, how to visualize data, and how to use spreadsheets and database managers - before launching into coding and more advanced analysis. Alongside step-by-step instructions on beginning data analysis, Houston discusses why these digital tools should be an integral part of reporting in the present day. Thoroughly revised and updated,…mehr
Now in its sixth edition, Data for Journalists is a straightforward and effective guide to using data for news stories. This concise textbook addresses all the key basic skills that data journalists need, including how to find and scrape data, how to build a database, how to visualize data, and how to use spreadsheets and database managers - before launching into coding and more advanced analysis. Alongside step-by-step instructions on beginning data analysis, Houston discusses why these digital tools should be an integral part of reporting in the present day. Thoroughly revised and updated, this sixth edition features a new chapter on data visualization as well as new material on using free software such as Google Sheets and Datawrapper. Emphasizing that journalists are accountable for the accuracy and relevance of the data they acquire and share, particularly if artificial intelligence is involved, this is an ideal core text for courses on data-driven journalism and computer-assisted reporting.
Brant Houston is a Professor and the Knight Chair in Investigative Reporting at the University of Illinois, where he teaches journalism and oversees an online newsroom. An award-winning journalist, he was an investigative reporter at U.S. newspapers for 17 years. For more than a decade, he served as executive director of Investigative Reporters and Editors, a now 5,000-member association headquartered at the University of Missouri School of Journalism, where he also taught investigative and data reporting. Houston has conducted more than 400 seminars for professional journalists and students in 30 countries, and he is a co-founder of networks of nonprofit newsrooms and educators throughout the world. He is also the author of Changes in Models for Journalism: Reinventing the Newsroom and co-author of The Investigative Reporter's Handbook: A Guide to Documents, Databases, and Techniques.
Inhaltsangabe
Preface Features New to this Edition Acknowledgements Chapter 1: What Data Journalism and Computer-Assisted Reporting Is and Why Journalists Use It Chapter 2: Online Resources: Researching and Finding Data on the Internet Chapter 3: Getting Data Not on the Web: How to Find and Negotiate for Data Chapter 4: Building Your Own Database: How to Develop Exclusive Sources Chapter 5: Spreadsheets, Part 1: Basic Math and Data Analysis for Journalists Chapter 6: Spreadsheets, Part 2: More Math that Matters Chapter 7: The Database Manager, Part 1: Searching and Summarizing Chapter 8: Database Managers, Part 2: Matchmaking and Advanced Queries Chapter 9: Basic Data Visualization: Charts, Maps, and Social Network Analysis Chapter 10: Dirty Data: How to Fact Check Your Data and Clean It Chapter 11: How to Report and Write with Data Appendix A: Unstructured Data: Analyzing Text and Social Media Appendix B: Coding and Artificial Intelligence Selected Bibliography Glossary Index
Chapter 1. What Data Journalism and Computer-Assisted Reporting Is and Why Journalists Use It
Part I. Learning Computer-Assisted Reporting Skills
Chapter 2. Online Resources: Researching and Finding Data on the Internet
Chapter 3: Gathering and Analyzing Text and Social Media
Chapter 4. Spreadsheets, Part 1: Basic Math for Journalists
Chapter 5. Spreadsheets, Part 2: More Math that Matters
Chapter 6. Database Managers, Part 1: Searching and Summarizing
Chapter 7. Database Managers, Part 2: Matchmaking
Part II. Using Computer-Assisted Reporting in News Stories
Chapter 8. Getting Data Not on the Web: How to Find and Negotiate for Data
Chapter 9. Building Your Own Database: How to Develop Exclusive Sources
Chapter 10. Dirty Data: How to Fact Check Your Data and Clean It
Chapter 11. Doing the Data Journalism and Computer-Assisted Reporting Story: How to Report and Write with Data
Appendix A: A Short Introduction to Mapping Data
Appendix B: A Short Introduction to Social Network Analysis
Preface Features New to this Edition Acknowledgements Chapter 1: What Data Journalism and Computer-Assisted Reporting Is and Why Journalists Use It Chapter 2: Online Resources: Researching and Finding Data on the Internet Chapter 3: Getting Data Not on the Web: How to Find and Negotiate for Data Chapter 4: Building Your Own Database: How to Develop Exclusive Sources Chapter 5: Spreadsheets, Part 1: Basic Math and Data Analysis for Journalists Chapter 6: Spreadsheets, Part 2: More Math that Matters Chapter 7: The Database Manager, Part 1: Searching and Summarizing Chapter 8: Database Managers, Part 2: Matchmaking and Advanced Queries Chapter 9: Basic Data Visualization: Charts, Maps, and Social Network Analysis Chapter 10: Dirty Data: How to Fact Check Your Data and Clean It Chapter 11: How to Report and Write with Data Appendix A: Unstructured Data: Analyzing Text and Social Media Appendix B: Coding and Artificial Intelligence Selected Bibliography Glossary Index
Chapter 1. What Data Journalism and Computer-Assisted Reporting Is and Why Journalists Use It
Part I. Learning Computer-Assisted Reporting Skills
Chapter 2. Online Resources: Researching and Finding Data on the Internet
Chapter 3: Gathering and Analyzing Text and Social Media
Chapter 4. Spreadsheets, Part 1: Basic Math for Journalists
Chapter 5. Spreadsheets, Part 2: More Math that Matters
Chapter 6. Database Managers, Part 1: Searching and Summarizing
Chapter 7. Database Managers, Part 2: Matchmaking
Part II. Using Computer-Assisted Reporting in News Stories
Chapter 8. Getting Data Not on the Web: How to Find and Negotiate for Data
Chapter 9. Building Your Own Database: How to Develop Exclusive Sources
Chapter 10. Dirty Data: How to Fact Check Your Data and Clean It
Chapter 11. Doing the Data Journalism and Computer-Assisted Reporting Story: How to Report and Write with Data
Appendix A: A Short Introduction to Mapping Data
Appendix B: A Short Introduction to Social Network Analysis
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