What Is Data Journalism?

Data journalism is an exciting and essential new way to tell stories. In data journalism, you use data to tell the story of your subject matter—instead of relying on traditional storytelling methods through words or images. Data journalism can be used in many different contexts and for other purposes. You might use it to uncover new information about a topic or situation, better explain or provide context for something already reported on, or find some correlation between two things that haven't previously been connected. Data journalists often use statistics, charts, graphs or infographics to illustrate their findings and support their arguments. If you're a journalist, you know that data journalism is the future of your industry. Data is everywhere—and it's growing! It's in the air we breathe, on our phones, and generated by businesses worldwide. Data journalism is a branch of journalism that uses data to tell stories. It's not just about finding exciting trends in user data; it's about finding ways to use that data to tell new stories. The goal is to assemble content that engages readers and helps them make better decisions. The best part? You don't have to control a programmer or statistician to do data journalism! It would be best to have the right software and some basic skills in Excel or Python. In the old days, there was no "the Internet." If you wanted to get news, you had to be on the scene and report it yourself. Then everything changed. The world is changing fast, and journalism is resistant to that change. Today, news can unfold in many different ways: through blogs, videos and social media—and then there's data! Journalists need to know how to use data because it helps them understand what is happening and make sense of it. This means that instead of being the first person on the scene and reporting what they see, journalists are now focusing on giving context and explanation to stories—and that's where data comes in handy!