Data journalism is one of those terms that sounds technical at first, but the idea behind it is actually quite simple – it’s about using numbers, statistics, and datasets to help tell stories that matter, and instead of relying only on interviews or observation, data journalists look at evidence that might otherwise be missed.
How Data Becomes a Story
At its core, data journalism starts with information, which could be public records, surveys, research data, or large datasets released by governments or organisations. The journalist’s job is to sort through that information, work out what’s meaningful, and then explain it clearly.
The key part isn’t the data itself, but what it shows – good data journalism turns raw numbers into something people can understand and relate to, often by focusing on how the findings affect everyday life.
Why It Matters
Data journalism plays an important role in accountability – it’s often used to uncover inequality, track spending, analyse crime figures, or show how policies play out in the real world. Because the reporting is backed by evidence, it can be harder to dismiss and easier for readers to trust.
Skills Behind the Scenes
Data journalists usually combine traditional reporting skills with analytical thinking. That means being comfortable with spreadsheets, basic statistics, and sometimes coding, alongside writing and storytelling. Many people interested in this field start with a journalism degree from somewhere like //schoolofjournalism.co.uk/ and then build technical skills over time.
Final Thoughts
When used well, data helps journalists ask better questions, spot hidden stories, and explain the world a little more clearly.