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Data Journalism Heist

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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 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


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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 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

12 review for Data Journalism Heist

  1. 5 out of 5

    Lucia

  2. 5 out of 5

    Winny de Jong

  3. 5 out of 5

    Johnny

    A quick overview on how one can use data to find a story, keeps going and uncovers an even more interesting one. The data is here, it’s up to everyone what one can do with it.

  4. 4 out of 5

    Mary

  5. 5 out of 5

    Charles Franklin

  6. 4 out of 5

    Ta

  7. 5 out of 5

    Irina Radchenko

  8. 5 out of 5

    Reading Is Fun

  9. 4 out of 5

    Roberto Peixoto

  10. 4 out of 5

    Ahmad Naser

  11. 4 out of 5

    Karen Quintero

  12. 5 out of 5

    Zahra

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