XebiCon'18 - Comment fausser l'interprétation de vos résultats avec des dataviz

@Xebiconfr #Xebicon18 @scauglog
Build the future
Comment fausser l’interprétation de vos résultats avec des DataViz
Romain Sagean, Développeur
Xebia
1

Qui suis-je ?
Scauglog (Romain Sagean)
Développeur,
Xebia
@scauglog
2

Table
Simple but effective
3

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

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

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

Table
● 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

Table
● 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

Line Chart
What? Data is evolving!
9

Line Chart
● Evolution
● Angle
● X axis = cause
● Y axis = effect
10

@Xebiconfr #Xebicon18 @scauglog 11

Line Chart
● Bold line decrease effect
12

Line Chart
● Sum all category to show an
increase
13

Line Chart
increase
● Plot incomplete category to
show a decrease
14

Line Chart
increase
● Plot incomplete category to
show a decrease
15

Line Chart
increase
● Plot incomplete category to show
a decrease
● 3D shiny and misleading
16

Bar Chart
Not as good as chocolat bar’s
17

Bar Chart
● Comparison
● Group Dimension to Compare
18

Bar Chart
● Don’t start at Zero to show a
greater difference between bar
20

Bar Chart
21

Bar Chart
● Scale Must not be cut
22
shop 1 shop 2

Bar Chart
23
shop 1 shop 2

Bar Chart
24
shop 1 shop 2

Bar Chart
● 3D you will never get the right
number
25

Bar Chart
● 3D you will never get the right
number
26

Line VS Bar
27

Line VS Bar
28

Line VS Bar
29

Line VS Bar
30

Line VS Bar
31

Pie Chart
Yes it’s useful
32

Pie Chart
● Composition
● Lot of value
33

Pie Chart
● Should be 100%
34

Pie Chart
● Should be 100%
35

Pie Chart
● Should be 100%
● To determine percent people use:
○ outer arc (50%)
○ area (25%)
○ angle (25%)
36

Pie Chart
● Should be 100%
● To determine percent people use:
○ outer arc (50%)
○ area (25%)
○ angle (25%)
● 3D? oh god no, not again
37

Dimension
how many dimension can you plot without using 3D perspective?
38

Dimension
39
1

Dimension
40
1 2

Dimension
41
1 2 3

Dimension
42
1 2 3 4

Dimension
43
1 2 3 4 5?

Color
Hopefully someone else problem
44

Color
● 8% of men are color blind
45

Color
● Respect existing convention
○ no data = grey
46

Color
○ no data = grey
○ banana = yellow
47

Color
○ no data = grey
○ banana = yellow
48

Thank You
Do your worst #WTFDataViz
49

Let’s play
find the mistakes
50

Let’s fix it
54

Try Again
56

Why ?
58

Let’s fix it
61

Rainbow colormap
63

Simple Shape
Simple to understand but hard to draw
65

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
66

Simple Shape
67

Simple Shape
68

Simple Shape
69

XebiCon'18 - Comment fausser l'interprétation de vos résultats avec des dataviz

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