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Data driven storytelling

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Nathan Gasser

This document discusses using data-driven storytelling to communicate important information and persuade audiences. It explains that storytelling is how humans share knowledge and lessons, while data provides measurable results. Different visualization tools like Tableau, Highcharts and d3.js can help bring data to life in stories. The document then outlines a 10 step process for crafting data-driven stories, which involves planning the narrative, analyzing relevant data, selecting an appropriate presentation style, building visualizations, and promoting and updating the story over time.

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Data Driven Storytelling The universe is not made of atoms, it is made of stories. Muriel Rukeyser
Nathan Gasser ngasser@rockriverstar.com Briana Morgan brianalmorgan@gmail.com
Why Storytelling?
Humans are wired for storytelling Stories are how we imagine possibilities, encode our values, and teach lessons to the next generation. Stories impart facts, opinions, judgments, and emotions. Stories have a unique power to both inform and persuade.
Why Data?
We live in a results-driven world Nonpro鍖ts are expected to be run like a business Foundations make investments, not grants
Let me tell you a story
Elements of a good story Se#ng Where are we? Why are we here? Characters Protagonists & Antagonists Con鍖ict & Poten8al Plot Beginning, Middle, End Backstory, Ac8on, Resolu8on Detail Detail, not digression
Whose story is it? Do you want people to explore and come to their own conclusions? Or you have a message you want them to take away?
How about the data?
Tableau Public Best for: ≒Making & sharing a quick story ≒Data you dont mind making public
#MakeoverMonday
Highcharts Best for: ≒ Web developers who know JavaScript ≒ Embedding in a website with dynamic data
d3.js Best for: ≒ Developers who really really love JavaScript ≒ Complicated data you cant show with normal charts
More examples if we have time ≒ Charts http://viz.healthmetricsandevaluation.org/gbd-compare/ ≒ Maps http://pooreconomics.com/data/country/home ≒ Interactive http://foods.bridgingthegapresearch.org ≒ Immersive Presentation http://rwjf.org/maketobaccohistory
Data-Driven Storytelling In Ten Easy Steps! 1. Draft your story 2. Gather & process the data 3. Select a presentation style (Classic, funky, map, infographic; interactive vs static) and a tool (O鍖 the shelf? Custom built?) 4. Load the data & create your visualization 5. Add your narrative 6. Make it beautiful 7. Test it and make it better 8. Release it & promote it 9. Keep the data updated (Daily? Yearly? Real-time?) 10. Impact the world
Workshop Time
Your Story ≒ Who are your characters your heroes and villains? ≒ Whos your audience? Do they know your characters?
Your Data ≒ What data will you need to tell this story? ≒ Do you have it now, or can you easily acquire it? ≒ Will it need to be processed and analyzed, or just presented?
Your Stage ≒ How can you best reach your audience with this story? Your website? Social media? Email? Print? ≒ What do you want them to take away from your story, and what actions can they take? ≒ How will you measure the impact your story has?
Links n Stuff http://bit.ly/216QxUn
Thanks for Listening! Nathan Gasser ngasser@rockriverstar.com Briana Morgan brianalmorgan@gmail.com

More Related Content

Data driven storytelling

  • 1. Data Driven Storytelling The universe is not made of atoms, it is made of stories. Muriel Rukeyser
  • 4. Humans are wired for storytelling Stories are how we imagine possibilities, encode our values, and teach lessons to the next generation. Stories impart facts, opinions, judgments, and emotions. Stories have a unique power to both inform and persuade.
  • 6. We live in a results-driven world Nonpro鍖ts are expected to be run like a business Foundations make investments, not grants
  • 7. Let me tell you a story
  • 8. Elements of a good story Se#ng Where are we? Why are we here? Characters Protagonists & Antagonists Con鍖ict & Poten8al Plot Beginning, Middle, End Backstory, Ac8on, Resolu8on Detail Detail, not digression
  • 9. Whose story is it? Do you want people to explore and come to their own conclusions? Or you have a message you want them to take away?
  • 10. How about the data?
  • 11. Tableau Public Best for: ≒Making & sharing a quick story ≒Data you dont mind making public
  • 13. Highcharts Best for: ≒ Web developers who know JavaScript ≒ Embedding in a website with dynamic data
  • 14. d3.js Best for: ≒ Developers who really really love JavaScript ≒ Complicated data you cant show with normal charts
  • 15. More examples if we have time ≒ Charts http://viz.healthmetricsandevaluation.org/gbd-compare/ ≒ Maps http://pooreconomics.com/data/country/home ≒ Interactive http://foods.bridgingthegapresearch.org ≒ Immersive Presentation http://rwjf.org/maketobaccohistory
  • 16. Data-Driven Storytelling In Ten Easy Steps! 1. Draft your story 2. Gather & process the data 3. Select a presentation style (Classic, funky, map, infographic; interactive vs static) and a tool (O鍖 the shelf? Custom built?) 4. Load the data & create your visualization 5. Add your narrative 6. Make it beautiful 7. Test it and make it better 8. Release it & promote it 9. Keep the data updated (Daily? Yearly? Real-time?) 10. Impact the world
  • 18. Your Story ≒ Who are your characters your heroes and villains? ≒ Whos your audience? Do they know your characters?
  • 19. Your Data ≒ What data will you need to tell this story? ≒ Do you have it now, or can you easily acquire it? ≒ Will it need to be processed and analyzed, or just presented?
  • 20. Your Stage ≒ How can you best reach your audience with this story? Your website? Social media? Email? Print? ≒ What do you want them to take away from your story, and what actions can they take? ≒ How will you measure the impact your story has?
  • 22. Thanks for Listening! Nathan Gasser ngasser@rockriverstar.com Briana Morgan brianalmorgan@gmail.com