Description
Book SynopsisTaking 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, instructor
Table of Contents
Introduction
Chapter 1: Acquiring Data
Chapter 2: Searching the Deep Web
Chapter 3: Scraping Data
Chapter 4: Cleaning Data
Chapter 5: Basic Spreadsheets
Chapter 6: Advanced Spreadsheets and R
Chapter 7: Writing a Data Story
Chapter 8: SQL
Chapter 9: Scraping Social Media
Chapter 10: Data Visualization
Chapter 11: Ethics, Trust, Transparency and Posting Data Online
Chapter 12: Math for Journalists: Writing with Numbers
