Data journalism involves analyzing publicly available data to find and tell stories in the public interest. It is a team effort involving writers, researchers, statisticians, hackers, and designers. Examples include using data to analyze rankings at the Olympics, traffic accidents, and hurricanes. Journalists obtain data from sources like government agencies, non-profits, or by scraping websites. They analyze the data using tools like Excel, R, ManyEyes, or Tableau and visualize it on maps or interactive visualizations. Data journalism is a form of quality journalism that has been practiced for 50 years and provides new opportunities for reporting while improving transparency.