Une Data Visualisation permet en un seul coup d’œil de véhiculer des résultats (d'analyse). Au travers de contre-exemples bien choisis, nous allons voir les nombreux pièges qui nuisent à la lisibilité et l'interprétation des données et comment choisir la bonne représentation pour faire passer vos idées.
Par Romain Sagean, Data Engineer chez Xebia
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XebiCon'18 - Comment fausser l'interprétation de vos résultats avec des dataviz
1. @Xebiconfr #Xebicon18 @scauglog
Build the future
Comment fausser l’interprétation de vos résultats avec des DataViz
Romain Sagean, Développeur
Xebia
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4. @Xebiconfr #Xebicon18 @scauglog
Data 2012
April 132
August 63
December 206
February 31
January 132
July 100
June 119
March 47
May 62
November 112
October 245
September 88
4
5. @Xebiconfr #Xebicon18 @scauglog
Table
● Value
● Mnemonic Empan = 7
● Accurate
2012
April 132
August 63
December 206
February 31
January 132
July 100
June 119
March 47
May 62
November 112
October 245
September 88
5
6. @Xebiconfr #Xebicon18 @scauglog
Table
● Alphabetical Order is the worst
2012
April 132
August 63
December 206
February 31
January 132
July 100
June 119
March 47
May 62
November 112
October 245
September 88
6
7. @Xebiconfr #Xebicon18 @scauglog
Table
● Alphabetical Order is the worst
● Logical Order could be Great
2012
January 132
February 31
March 47
April 132
May 62
June 119
July 100
August 63
September 88
October 245
November 112
December 206
7
8. @Xebiconfr #Xebicon18 @scauglog
Table
● Alphabetical Order is the worst
● Logical Order could be Great
● Sorting value instead of Label is better
2012
October 245
December 206
April 132
January 132
June 119
November 112
July 100
September 88
August 63
May 62
March 47
February 31
8
14. @Xebiconfr #Xebicon18 @scauglog
Line Chart
● Bold line decrease effect
● Sum all category to show an
increase
● Plot incomplete category to
show a decrease
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15. @Xebiconfr #Xebicon18 @scauglog
Line Chart
● Bold line decrease effect
● Sum all category to show an
increase
● Plot incomplete category to
show a decrease
15
16. @Xebiconfr #Xebicon18 @scauglog
Line Chart
● Bold line decrease effect
● Sum all category to show an
increase
● Plot incomplete category to show
a decrease
● 3D shiny and misleading
16
22. @Xebiconfr #Xebicon18 @scauglog
Bar Chart
● Don’t start at Zero to show a
greater difference between bar
● Scale Must not be cut
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shop 1 shop 2
23. @Xebiconfr #Xebicon18 @scauglog
Bar Chart
● Don’t start at Zero to show a
greater difference between bar
● Scale Must not be cut
23
shop 1 shop 2
24. @Xebiconfr #Xebicon18 @scauglog
Bar Chart
● Don’t start at Zero to show a
greater difference between bar
● Scale Must not be cut
24
shop 1 shop 2
25. @Xebiconfr #Xebicon18 @scauglog
Bar Chart
● Don’t start at Zero to show a
greater difference between bar
● Scale Must not be cut
● 3D you will never get the right
number
25
26. @Xebiconfr #Xebicon18 @scauglog
Bar Chart
● Don’t start at Zero to show a
greater difference between bar
● Scale Must not be cut
● 3D you will never get the right
number
26
36. @Xebiconfr #Xebicon18 @scauglog
Pie Chart
● Should be 100%
● To determine percent people use:
○ outer arc (50%)
○ area (25%)
○ angle (25%)
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37. @Xebiconfr #Xebicon18 @scauglog
Pie Chart
● Should be 100%
● To determine percent people use:
○ outer arc (50%)
○ area (25%)
○ angle (25%)
● 3D? oh god no, not again
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66. @Xebiconfr #Xebicon18 @scauglog
Simple Shape
● Comparison
● we compare Area or volume
● rectangle > square or circle > 3D
● you can even use non geometrical shape
like cat or dog shadow
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