Pitfalls in datavisualisation

 

Brussels

4 March 2019

@maartenzam

Open Belgium

and how to overcome them

Maarten Lambrechts?

18 pitfalls in datavisualisation

2. Don't cut bars

3. Don't cut time axes

4. Label directly

5. Use colors deliberately

Make grey your best friend

6. Avoid chart junk

7. Scale circles by area, not by radius

8. Avoid double axes

9. Correlation is not causality

10. Don't do 3D

Unless you are the New York Times

11. Sort on the data

12. Tell the story

13. 1 chart, 1 message

14. Use common scales on small multiples

16. Normalise numbers on maps (per capita, ...)

17. Sometimes the best map is no map

18. All maps lie

Datavisualisation pitfalls

1. Save pies for dessert

2. Don't cut bars

3. Don't cut time axes

4. Label directly

5. Use colors deliberately

6. Avoid chart junk

7. Scale circles by area

8. Avoid double axes

9. Correlation is no causality

10. Don't do 3D

11. Sort on the data

12. Tell the story

13. 1 chart, 1 message

14. Common scales on small mult's

15. #Endrainbow

16. Normalise data on maps

17. Sometimes best map is no map

18. All maps lie

Thanks!

slides.com/maartenzam/vizpitfalls-ob19


www.maartenlambrechts.be

@maartenzam

Pitfalls in data visualisation | Open Belgium

By maartenzam

Pitfalls in data visualisation | Open Belgium

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