Data-driven journalism

Data-driven journalism involves using large amounts of data and statistical analysis to uncover, understand, and tell stories about complex issues. Journalists gather information from sources like government reports, research studies, and public databases, then analyze this data to identify patterns, trends, or insights that might not be obvious. This approach helps produce accurate, evidence-based reports and provides readers with a clearer understanding of topics such as politics, economics, or social issues. Essentially, data-driven journalism combines investigative reporting with data analysis to deliver more detailed, factual, and impactful stories.