Data Visualization & Corruption
March 18, 2017
@maartenzam
Antwerp
Introduction, tools and practice
Data Visualization
I
"As knowledge increases amongst mankind, and transactions multiply, it becomes more and more desirable to abbreviate and facilitate the modes of conveying information from one person to another, and from one individual to the many."
William Playfair, 1786
"Everything that can be expressed in numbers can be represented by lines."
John Playfair
Why visualize?
The Secret
Preattentive Processing
868888609462834719714449648
122286651978794222484779908
939340243123007392183390116
351684124962334339709749742
868888609462834719714449648
122286651978794222484779908
939340243123007392183390116
351684124962334339709749742
10 pitfalls
And how to overcome them
1. Don't cut bars
2. Don't cut time
4. Don't square the pies
5. Label directly
6. Deliberate colors
7. Tell the story
8. Double the axes, double the mischief
And correlation is not causation
9. Don't do 3D
Except when you're the New York Times
10. Avoid the Zones of Invisibility & Irrelevance
Chart Choosers
Tools
II
Make publishable charts, maps and tables
Practice
Datawrapper
Ranking (top10)
Table
Map
Data: Transparency International perceived corruption index
Onodo
Network of course participants, with connections
Thank you!
www.maartenlambrechts.com
@maartenzam
Data visualization and corruption
By maartenzam
Data visualization and corruption
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