ABSTRACT

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.

chapter |8 pages

Introduction

The Power of Data Storytelling

chapter 1|19 pages

Acquiring Data

chapter 2|21 pages

Searching the Deep Web

chapter 3|22 pages

Scraping Data

chapter 4|15 pages

Cleaning Data

chapter 5|22 pages

Basic Spreadsheets

chapter 6|19 pages

Advanced Spreadsheets and R

chapter 7|14 pages

Writing a Data Story

chapter 8|19 pages

SQL

chapter 9|20 pages

Scraping Social Media

chapter 10|19 pages

Data Visualization