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

NL

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

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Data visualization and corruption

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