Data + Journalism: A Story-Driven Approach to Learning Data Reporting

✍ Scribed by Mike Reilley, Samantha Sunne

• Publisher: Routledge
• Year: 2022
• Tongue: English
• Leaves: 251
• Category: Library

✦ Synopsis

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 US 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.

✦ Table of Contents

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