Alex Richards

Foundations of Data and Digital Journalism (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This accessible, step-by-step guide is written for students and working professionals who want to better understand data journalism, web design, and the visualization of information.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 204
• Erscheinungstermin: 14. Februar 2023
• Englisch
• ISBN-13: 9781000833492
• Artikelnr.: 67318711

Autorenporträt

Alex Richards is an assistant professor at Syracuse University's S.I. Newhouse School of Public Communications. Richards was a Pulitzer Prize finalist in 2011, and his reporting has been honored with the Goldsmith Prize for Investigative Reporting and the Taylor Family Award for Fairness in Journalism, among others. He previously worked as a data reporter and editor for the Chicago Tribune, Nerdwallet, The Chronicle of Higher Education, and the Las Vegas Sun. Richards is also a former training director for Investigative Reporters & Editors, where he taught in-depth reporting and data journalism techniques in newsrooms across the country.

Inhaltsangabe

List of figures
Acknowledgments
1. Introduction: Why data journalism?
2. Data, numeracy, and how to bulletproof information
3. Where data comes from-and how to get it
4. Starting with spreadsheets
5. Sort, filter, pivot: The building blocks of data analysis
6. Clean and repair: Techniques for more advanced analysis
7. Simple tools for everyday data visualization
8. Introduction to R and the tidyverse
9. Using R for data analysis
10. Making the modern web with HTML and CSS
11. More advanced CSS: Layouts, Bootstrap, and more
12. Where to learn more

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List of figures

Acknowledgments

1. Introduction: Why data journalism?

2. Data, numeracy, and how to bulletproof information

3. Where data comes from-and how to get it

4. Starting with spreadsheets

5. Sort, filter, pivot: The building blocks of data analysis

6. Clean and repair: Techniques for more advanced analysis

7. Simple tools for everyday data visualization

8. Introduction to R and the tidyverse

9. Using R for data analysis

10. Making the modern web with HTML and CSS

11. More advanced CSS: Layouts, Bootstrap, and more

12. Where to learn more