This document provides an overview of data-driven journalism, including definitions, the basic workflow, tools used, and examples. It defines data-driven journalism as using data to find untold stories or provide new angles to existing stories. The workflow involves finding data, cleaning and analyzing it, and presenting insights in an accessible way like stories or graphics. Reporters can find data from organizations, government websites, compiled databases, or by collecting it themselves. Common tools used include Excel, Google Fusion, and Tableau Public. Examples of data-driven journalism projects examine government spending, immigration trends, and geographic patterns in salaries.