Data journalism involves sorting, filtering, and calculating data to find meaningful insights and stories. The key techniques are sorting data to find outliers, filtering it to focus on specific areas or industries, and using pivot tables to compare categories, areas, and time periods. While data analysis is important, the most valuable tool is the telephone for talking to experts and people affected to understand the context around the data and generate story ideas.