Marco Liberati - If you can find a story in your data, you can help people make sense of it. If you put your audience in the center of your data with data visualization, you empower them to create their own story and find meaning in data that would otherwise be meaningless. This talk looks at how to turn your users into storytellers and how time-series data can be visualized as an evolving network, turning vast volumes of data into meaningful insight.

1. Show the story in your data
Marco Liberati

2. Outline
1. Why visualize data?
2. From data to the visualization
3. Explore the data: an example
4. Test the data: an example
5. Tips & tricks

3. Why Visualize Data?
1. Engage users and harness their brains
2. Find insight through exploration
3. Understand context and see detail
4. Communicate insight intuitively

4. Why Visualize Data?

5. Why Visualize Data?
Pith off
centered
Age
Rings spaced
widely: good
weather conditions
Narrow rings:
drought season
Other narrow rings:
maybe insect
infestation?

6. From data to visualization
● What are the requirements?
● Sketch your idea
● Review: is it useful to somebody?
● Try to remove things
● Focus

8. Tips & tricks
● Do not use 3D
● Bad colour choice
● Avoid too many font types
● Misleading scales
● Too many variables
● Over animate

9. Any Questions?
@Cambridgeintel Cambridge-Intelligence.com
marco@cambridge-intelligence.com
@dej611

10. • Runs in any browser
• Works on any device
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• Powerful functionality
What is KeyLines?
A powerful SDK for graph visualization: