データ＋ジャーナリズム：ストーリーで理解するデータ報道 Data + Journalism : A Story-Driven Approach to Learning Data Reporting

著者名：Reilley, Mike/Sunne, Samantha

Routledge（2022/12/30発売）

• 言語：ENG
• ISBN：9781032225913
• eISBN：9781000811971

Description

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

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