Information Visualisation - Lecture 1

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Transcript of Information Visualisation - Lecture 1

@wassxILV Informationsvisualisierungen

Information Visualisation

#viz_lnz

Information Visualisation

Lecture 1 - Foundations

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Why Visualize?

"The first and main goal of any graphic and visualization is to be a tool for your eyes and brain to perceive what lies beyond their natural reach".

Alberto Cairo in "the functional art"

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Knowledge transfer

www.nickmilton.com

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Knowledge transfer

http://imgur.com/gallery/S83PHzp

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Analysis and exploration

http://xkcd.com/552/

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Analysis and exploration

https://en.wikipedia.org/wiki/Correlation_and_dependence

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Planning and decision making

© The New Yorker Collection. 2002. Leo Cullum from cartoonbank.com.

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Planning and decision making

http://wol.iza.org/articles/redesigning-pension-systems/long

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Why Visualize?

• Visualisation leverages the incredible capabilities and bandwidth of the visual system to move a huge amount of information into the brain very quickly.

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Why Visualize?

• Visualisation leverages the incredible capabilities and bandwidth of the visual system to move a huge amount of information into the brain very quickly.

• Visualisation takes advantage of our brains built-in "software" to identify patterns and communicate relationships and meaning.

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Why Visualize?

• Visualisation leverages the incredible capabilities and bandwidth of the visual system to move a huge amount of information into the brain very quickly.

• Visualisation takes advantage of our brains built-in "software" to identify patterns and communicate relationships and meaning.

• Visualisation can inspire new questions and further exploration.

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Why Visualize?

• Visualisation leverages the incredible capabilities and bandwidth of the visual system to move a huge amount of information into the brain very quickly.

• Visualisation takes advantage of our brains built-in "software" to identify patterns and communicate relationships and meaning.

• Visualisation can inspire new questions and further exploration.

• Visualisation helps identify sub-problems.

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Why Visualize?

• Visualisation leverages the incredible capabilities and bandwidth of the visual system to move a huge amount of information into the brain very quickly.

• Visualisation takes advantage of our brains built-in "software" to identify patterns and communicate relationships and meaning.

• Visualisation can inspire new questions and further exploration.

• Visualisation helps identify sub-problems.

• Visualisation is really good for identifying trends and outliers, discovering or searching for interesting or specific data points in a larger field.

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Why Visualize?

Move information from point A to B.

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Exploratory vs Explanatory

ExploratoryPoint A is the dataset and point B is the designer's own mind.

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Exploratory

"You have a whole bunch of data and you're not sure what's in it."

"This type of visualisation is typically part of the data analysis phase, and is used to find the story the data has to tell you."

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Exploratory

http://www.messenger-education.org/workshops/MLA_topography_print_labels.jpg

Water Ice Data from Mercury

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Exploratory vs Explanatory

ExplanatoryPoint A is the designer's mind and point B is the mind of the reader.

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Explanatory

"You know what the data has to say, and you are trying to tell that story to somebody else."

"This type of visualisation is typically part of the presentation phase."

Designing Data Visualizations, Noah Iliinsky & Julie Steele, O'Reilly 2011

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Explanatory

http://messenger.jhuapl.edu/news_room/presscon12_multi.html

Water Ice Data from Mercury

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Explanatory

http://www.bloomberg.com/graphics/2015-whats-warming-the-world/

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From Information to Wisdom

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From Information to Wisdom

1970's Richard Saul Wurman, Prof. of architecture in North Carolina, predicted oncoming information explosion needs professionals in organising data:

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From Information to Wisdom

1970's Richard Saul Wurman, Prof. of architecture in North Carolina, predicted oncoming information explosion needs professionals in organising data:

"Information Architects"

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From Information to Wisdom

Information Architect's main goal:

"Fight information anxiety"

Superhero by Mordok78www.deviantart.com

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From Information to Wisdom

Information Architect's main goal:

"Fight information anxiety"

„The black hole between data and knowledge“

aka

Superhero by Mordok78www.deviantart.com

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From Information to Wisdom

Superhero by Mordok78 www.deviantart.com

• Structural design of shared information environments

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From Information to Wisdom

Superhero by Mordok78 www.deviantart.com

• Structural design of shared information environments

• Combination of organisation, labelling, search, and navigation systems within websites and intranets

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From Information to Wisdom

Superhero by Mordok78 www.deviantart.com

• Structural design of shared information environments

• Combination of organisation, labelling, search, and navigation systems within websites and intranets

• The art and science of shaping information products and experiences to support usability and find-ability

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From Information to Wisdom

Superhero by Mordok78 www.deviantart.com

• Structural design of shared information environments

• Combination of organisation, labelling, search, and navigation systems within websites and intranets

• The art and science of shaping information products and experiences to support usability and find-ability

• An emerging discipline and community of practice focused on bringing principles of design and architecture to the digital landscape

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From Information to WisdomDIKW Hierarchies

Unstructured Information Data

Outer world

Gathering and filteringFirst level of encoding

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From Information to WisdomDIKW Hierarchies

Unstructured Information Data Structured

Information

Outer world

Second level

of encoding

Gathering and filteringFirst level of encoding

Communicators

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From Information to WisdomDIKW Hierarchies

Unstructured Information Data Structured

Information Knowledge

Outer world

Second level

of encoding

Gathering and filteringFirst level of encoding

Audiences decode

what is presented using

memories and experiences

Communicators

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From Information to WisdomDIKW Hierarchies

Unstructured Information Data Structured

Information Knowledge Wisdom

Outer world

Second level

of encoding

Gathering and filteringFirst level of encoding

In-depth understanding

and memorization

Audiences decode

what is presented using

memories and experiences

Audience

Communicators

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From Information to WisdomFurther Literature

„Polar Bear Book“Peter Morville & Lois Rosenfeld

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Summary

• Visualisation is a tool to transfer information • Different use cases (Exploratory vs. Explanatory) • Consider „information consumers“ (knowledge) • Give information the right shape -> Information Architect

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Brainwork

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from „the functional art“, Alberto Cairo

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from „the functional art“, Alberto Cairo

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from „the functional art“, Alberto Cairo

0

100

200

300

400

Brazil Colombia Venezuela Peru Argentina Chile Ecuador Bolivia

Discussion

vs

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from „the functional art“, Alberto Cairo

Absolute values

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from „the functional art“, Alberto Cairo

Relative values

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Arm

ed F

orce

s (T

hous

ands

of p

eopl

e)

0

100

200

300

400

Population (Millions of people)

0 50 100 150 200

21,6

7,1

2,61,2

2,14,6

0,90,2

million dollars per year

Brazil

Colombia

BoliviaEcuador

Chile

Venezuela

Argentina

Peru

check $ per year

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Form follows function

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Form follows function

Louis SullivanAmerican Architect

"The Tall Office Building Artistically Considered", 1896

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Form follows function

"All things in nature have a shape ... an outwards semblance, that tells us what they are ... Unfailing in nature these shapes express the inner life, the native quality of the animal, tree, bird, fish that they present to us.It is the pervading law of all things organic and inorganic ... that the life is recognisable in its expression, that form ever follows function. This is the law."

Louis Sullivan, "The Tall Office Building Artistically Considered," March, 1896http://academics.triton.edu/faculty/fheitzman/tallofficebuilding.html

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Form follows function

• "The form of a thing is a clue to its nature" (->Affordances: Spoon vs. iPod)

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Form follows function

• "The form of a thing is a clue to its nature" (->Affordances: Spoon vs. iPod)

• Influence on 20th century architecture (Bauhaus)

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Form follows function

• "The form of a thing is a clue to its nature" (->Affordances: Spoon vs. iPod)

• Influence on 20th century architecture (Bauhaus)

• Today's interpretation: human centred design

http://www.bethkanter.org/wp-content/uploads/130.pngUsed under „Fair use“ doctrine

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Form follows function

unidirectional relationship?

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Functions constrain forms

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Functions constrain forms

Relationship between forms and function isbidirectional

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Brainwork

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Functions constrain forms

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Functions constrain forms

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Functions constrain forms

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Functions constrain forms

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Functions constrain forms

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Functions constrain forms

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Functions constrain forms

Morgan Stanley

RBS

Deutsche Bank

Crédit Agricole

Société Générale

Barclays

BNP Paribas

Unicredit

UBS

Credit Suisse

Goldman Sachs

Santander

Citigroup

JP Morgan

HBSC

0 100 200 300 400

January 2007 January 2009

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Functions constrain forms

Morgan StanleyRBS

Deutsche BankCrédit Agricole

Société GénéraleBarclays

BNP ParibasUnicredit

UBSCredit Suisse

Goldman SachsSantander

CitigroupJP Morgan

HBSC0 100 200 300 400

Value Change

Loss (2007 - 2009)

2009 2007

Morgan StanleyRBS

Deutsche BankCrédit Agricole

Société GénéraleBarclays

BNP ParibasUnicredit

UBSCredit Suisse

Goldman SachsSantander

CitigroupJP Morgan

HBSC0 100 200 300 400

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Functions constrain forms

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Functions constrain forms

Are bubbles always bad?

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Functions constrain forms

http://www.xocas.com/blog/en/wp-content/uploads/2012/11/map_shift_margin_big.pngXaquín G.V.

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Tufte vs. Holmes

Artist unknownUsed under the fair use doctrine

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Edward Tufte Nigel Holmes

vs.

„The engineer“ „The designer“

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Edward Tufte

Edward Rolf Tufte„The engineer“

„is an American statistician and professor emeritus of political science, statistics, and computer science at Yale University. He is noted for his writings on information design and as a pioneer in the field of data visualization.“

https://en.wikipedia.org/wiki/Edward_Tufte

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Edward TufteMinimalism and Efficiency

„A visual design project is good if it communicates a lot with little.“

Edward R. Tufte

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Edward TufteMinimalism and Efficiency

• Graphical excellence is the well-designed presentation of interesting data - a matter of substance, of statistics, and of design.

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Edward TufteMinimalism and Efficiency

• Graphical excellence is the well-designed presentation of interesting data - a matter of substance, of statistics, and of design.

• Graphical excellence consists of complex ideas communicated with clarity, precision, and efficiency.

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Edward TufteMinimalism and Efficiency

• Graphical excellence is the well-designed presentation of interesting data - a matter of substance, of statistics, and of design.

• Graphical excellence consists of complex ideas communicated with clarity, precision, and efficiency.

• Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space.

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Edward Tufte

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Edward Tufte

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Edward TufteData-ink ratio

Data-ink ratio =Ink that encodes data

Total amount of ink used to print the graphic

Replace „ink“ with „pixels“ for our usage…

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Edward TufteData-ink ratio

Data-ink ratio =150px

1000px= 0.15

The closer the data-ink ratio is to 1.0, the better the graphic is, according to Tufte.

Data pixel

„Chartjunk“

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Nigel Holmes„The designer“

Nigel Holmes

„Is a British/American graphic designer, author, and theorist, who focuses on information graphics and information design…In 1977, worked in the map and chart department of Time magazine, where Holmes later became graphics director.“

https://en.wikipedia.org/wiki/Nigel_Holmes

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Nigel Holmes

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Nigel Holmes

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Nigel Holmes

17.500

35.000

52.500

70.000

1978 1979 1980 1981 1982

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Discussion

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Hands-on #1

Search an information graphic for each category: 1. Exploratory 2. Explanatory

in the internet or newspaper. Write a brief review (one paragraph) concerning topics learned in this lesson. Propose and explain improvements.

~3 people present their results as a basis for discussion next time.

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RelatedPeople:Peter Morville @morville

nigel holmes @nigelblue

Edward Tufte @EdwardTufte

Alberto Cairo @albertocairo