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Page 1: Mieg data vis 19 11 14
Page 2: Mieg data vis 19 11 14

What is data visualisation for?

• The aim of data visualisation is to present data in a format that minimises the time we need to understand information and reduces the risk of error and misinterpretation.

• Bringing out salient features (including errors) that cannot be seen by examining raw data: in short to enable insight.

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Anscombe’s quartet

Four data sets that have near identical statistical properties

I

x y

10 8.04

8 6.95

13 7.58

9 8.81

11 8.33

14 9.96

6 7.24

4 4.26

12 10.84

7 4.82

5 5.68

II

x y

10 9.14

8 8.14

13 8.74

9 8.77

11 9.26

14 8.1

6 6.13

4 3.1

12 9.13

7 7.26

5 4.74

III

x y

10 7.46

8 6.77

13 12.74

9 7.11

11 7.81

14 8.84

6 6.08

4 5.39

12 8.15

7 6.42

5 5.73

IV

x y

8 6.58

8 5.76

8 7.71

8 8.84

8 8.47

8 7.04

8 5.25

19 12.5

8 5.56

8 7.91

8 6.8

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I

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II

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III

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IV

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What is data visualisation for?

Source: http://www.microsiervos.com/archivo/azar/loto-estrella.html

Not just eye-candy…

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Page 10: Mieg data vis 19 11 14
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HEFCE maps

Participation map

• http://www.hefce.ac.uk/whatwedo/wp/ourresearch/polar/mapofyoungparticipationareas/

Data maps of HE provision

• http://www.hefce.ac.uk/whatwedo/crosscutting/coldspots/

• Where’s UBH?

Page 12: Mieg data vis 19 11 14

HESA mobile application

• M.hesa.ac.uk/uk-he-statistics

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Data Visualisation – a master

• Hans Rosling• http://www.youtube.com/watch?v=jbkSRLYSojo

Note sound and movement are integral to this example ….

Is this just data visualisation or do you need a Hans Rosling to take this approach?