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06/06/22 © The University of Sheffield In’t Maps Brilliant: Understanding Data Through Visualisation Dr Daniel Vickers Lecturer in Social and Spatial Inequalities Department of Geography University of Sheffield OACUG Seminar, Royal Statistical Society, London, 15 th September 2009

In’t Maps Brilliant: Understanding Data Through Visualisation

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Page 1: In’t Maps Brilliant: Understanding Data Through Visualisation

04/10/23 © The University of Sheffield

In’t Maps Brilliant: Understanding Data

Through Visualisation

Dr Daniel VickersLecturer in Social and Spatial InequalitiesDepartment of GeographyUniversity of Sheffield

OACUG Seminar, Royal Statistical Society, London, 15th September 2009

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Contents

• Thinking of Numbers in a Different Way

• Bringing Numbers to Life

• Adding Place to Data

• Taking the Place out Again

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Thinking of Numbers in a Different Way• Numbers without context ≈0

• Relative positions can be more important than values

• Relative positions without values ≈0

• Identifying the BIG numbers

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OAC Recap• Puts all 223,060 UK Census OAs into groups based on social

characteristics

• Hierarchy of 7, 21 and 52 groups

• 1: Blue Collar Communities,

• 2: City Living,

• 3: Countryside,

• 4: Prospering Suburbs,

• 5: Constrained by Circumstances,

• 6: Typical Traits,

• 7: Multicultural.

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Using statistics to understand a complex world

• Understanding = Knowledge

Another 223,030 rows here

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Bringing Numbers to Life

I Live in a Prospering Suburb

I have not got a clue what that means

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1: Blue Collar Communities

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2: City Living

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3: Countryside

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4: Prospering Suburbs

Oh, I see

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5: Constrained by Circumstances

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6: Typical Traits

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7: Multicultural

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Alternative variable profiles by super-group: Flats (All)

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That looks like our street!

Yes, but these don’t

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Yes, and using, different things to visualise them helps us understand

So we can use numbers to understand our neighbourhoods

And maps can add to

our understandi

ng even more!

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Adding Place to Data

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Adding Place to Data

The Dog was right!

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12% of the people

What a lot of Green

90% of the area

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Taking the Place out Again….but

increasing our understanding12% of the people = 12% of the area

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Page 22: In’t Maps Brilliant: Understanding Data Through Visualisation

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Making Maps Brilliant

• data + context + visualisation = Brilliant!

• areaclassification.org.uk

[email protected]

• shef.ac.uk/sasiAhh! A talking Dog