Storytelling
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The keynote presentation for CIR's TechRaking III.
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Storytelling
- 1. rning Data Into Storie
- 2. What is Visually?An ecosystem for creating, sharing, and exploring data visualizations. create.visual.ly marketplace.visual.ly visual.ly blog.visual.ly visual.ly
- 3. Data Visualizations Need Audience Audiences need motivation to consume. The main website provides a curated source of “cool stuff” for people to browse. This gives people a good source of content to share on their social networks, or just entertainment when they are bored at work.
- 4. Start With Story Stories make data consumable. The data that goes into stories is often dull. Good visualization doesn’t just show the data, it shows a story that’s in the data.
- 5. Crafting Stories How do you build compelling stories? Know the audience. Identify the possible stories. Balance both of them with data.
- 6. Google Analytics ReportKnow the audience.
- 7. Early Mock-Up History of views and current sources.
- 8. Early Mock-Up Total visits and break- down.
- 9. Top Website Manager StatsBe useful.
- 10. Distribution is ImportantDistribution has an impact on audience. Delivering something to someone’s inbox weekly is a dangerous game. It has to be something that doesn’t annoy, and something that provides real value. Repetitive info will be obnoxious or ignored.
- 11. The Global Sharknado ThreatIdentify possible stories.
- 13. Searching for a StoryA Venn diagram of shark threats. Shark Tornado Sharknado Octopus Sharktopus OctornadoSharnadoctopus But that quickly got out of hand: Dinoshark Mega Shark Two Headed Shark ...
- 14. Searching for a StoryA Taxonomy of Shark Media
- 15. Make It RelatableEveryone has a home.
- 17. Startup Universe Balance Audience, Data and Story.
- 18. Investors vs. WorldBalance audience. Target audience is investors. But investors are interested in different things from the rest of the world.
- 19. Supportive Data SourceBalance data. The data isn’t always there to support the story you want to show.
- 20. Engaging Story Balance story. Sometimes the story isn’t interesting enough to everyone.
- 21. Exploring StoriesLet the user find stories themselves.
Editor's Notes
- Only stats that are likely to change in the timescale of a week were included. We concentrated on percent change instead of base numbers. Color shows overall performance.
- Didn’t start with a dataset in mind, started with a general topic. Found the story, then found the appropriate dataset. Entire graphic came together in less than a week, from ideation to creation.
- Didn’t start with a dataset in mind, started with a general topic. Found the story, then found the appropriate dataset. Entire graphic came together in less than a week, from ideation to creation.