- Data storytellers do not stop at the data.
- Data storytellers do not overwhelm their audience.
- — Andy Cox (@InfoVizard)Wed, Feb 27 2013 20:09:15Common theme running through #tapestryconf. Just because you have a lot of data doesn't mean you should show it all. Corollary: edit, edit!
- — Emily Yount (@emilyyount)Wed, Feb 27 2013 20:16:35
- — Ben Jones (@DataRemixed)Wed, Feb 27 2013 15:49:31
- Data storytellers do not shy from depth and complexity.
- Data storytellers do not lose themselves in tools.
- — Jen Christiansen (@ChristiansenJen)Wed, Feb 27 2013 14:48:03
- Data storytellers do not merely display information.
- — Jen Christiansen (@ChristiansenJen)Wed, Feb 27 2013 16:35:491/2 From Pat Hanrahan: Showing is not explaining. Everyone can understand code. Break things down into steps & run algorithm #tapestryconf
- So, what DO data storytellers do?
- — Ben Jones (@DataRemixed)Wed, Feb 27 2013 22:22:01My demo show material for #tapestryconf | "4 Principles of Data Storytelling" http://dataremixed.com/2013/02/4-principles-of-data-storytelling/ …/2013/02/4-principles-of-data-storytelling/
- Data storytellers investigate.
Data Storytelling Dos and Don'ts
NASHVILLE, Tenn. - Discussion at the inaugural Tapestry conference on data storytelling focused a lot on what data storytelling is not. How do emerging storytellers know when they're on the right track? Scroll down for some signs of what IS data storytelling.
byPriya Kumar54 Views