Data Journalism Heist

De: Paul Bradshaw

Narrado por: Virtual Voice

Data journalism is a key skill for journalists to differentiate themselves in a world where almost anyone can publish, and competition for journalism jobs is fierce. Whether it's hard stories from government spending and MPs' expenses, or softer stories from sports data, fashion trends or music and social activity, our increasingly digital world is providing a rich range of potential new story sources - and new forms of storytelling too. This short ebook introduces you quickly to key techniques in finding that data and turning it into stories - through a 'Data Journalism Heist'. This isn't about the huge investigative projects that you hear about, but the everyday stories that you can do with speed and simplicity. It's about getting in, getting the data, and getting the story out safely. No one gets hurt. In the process you'll learn about: Sources of data - where to find data stories and leads Typical data stories - how to find simple stories in data Basic spreadsheet techniques - finding the biggest and smallest values; calculating averages and totals. Top techniques for getting stories against a deadline - using filters and pivot tables to get to the story quickly Making a clean getaway - avoiding mistakes in data journalism Telling the story - basic techniques in visualising and humanising your data-led story