What is data journalism?

Data journalism is a type of journalism that involves the use of data to inform and enhance the storytelling process. It involves analyzing, interpreting and visualizing large sets of data to uncover trends, patterns, and stories that may not be visible through traditional reporting methods. Data journalism can be used to explain complex issues, make comparisons, and identify inconsistencies. It often involves the use of statistical analysis and programming languages such as Python and R.

Data journalism has become increasingly popular in recent years, as the amount of data available online has grown exponentially. It has been used to investigate and report on a wide range of topics, including politics, crime, healthcare, climate change, and more. By using data to support their reporting, journalists can provide more accurate and objective information to their audience, and help them better understand complex issues.