+ All Categories
Home > Documents > Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten...

Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten...

Date post: 07-Feb-2018
Category:
Upload: hoangtruc
View: 216 times
Download: 3 times
Share this document with a friend
30
1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA Carsten Görg, E1.3 R.462 [email protected] Sascha Parduhn, E1.3 R.414 [email protected]
Transcript
Page 1: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

1

Introduction

Information VisualizationApril 14, 2008Carsten Görg

Slides adaptedfrom John Stasko

Summer term 2008 2

Instructor / TA

• Carsten Görg, E1.3 [email protected]

• Sascha Parduhn, E1.3 [email protected]

Page 2: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

2

Summer term 2008 3

Example: Challenger Shuttle

Summer term 2008 4

Example: Challenger Shuttle

Page 3: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

3

Summer term 2008 5

Example: Challenger Shuttle

Summer term 2008 6

Exercise

• Directions

Page 4: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

4

Summer term 2008 7

Data Explosion

• Society is more complex− There simply is more “stuff”

• Computers, internet and web give people access to an incredible amount of data− news, sports, financial, purchases, etc...

Summer term 2008 8

How much data?

• Between 1 and 2 exabytes of unique info produced per year − 1000000000000000000 (1018) bytes− 250 meg for every man, woman and child− Printed documents only .003% of total

Peter Lyman and Hal Varian, 2000Cal-Berkeley, Info Mgmt & Systemswww.sims.berkeley.edu/how-much-info

Page 5: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

5

Summer term 2008 9

Data Overload

• Confound: How to make use of the data− How do we make sense of the data?− How do we harness this data in decision-

making processes?− How do we avoid being overwhelmed?

Summer term 2008 10

The Need is There

http://www.computerworld.com/databasetopics/data/story/0,10801,80243,00.html

In five years, 100 million people will be using an information-visualization tool on a near-daily basis. And products that have visualization as one of their top three features will earn $1 billion per year. -- RamanaRao, founder and chief technology officer, InxightSoftware Inc., Sunnyvale, Calif.

Page 6: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

6

Summer term 2008 11

The Problem

Data

How?

Data Transfer

Web,Books,Papers, Game scores, Scientific data,Biotech,ShoppingPeopleStock/financeNews Vision: 100 MB/s

Ears: <100 b/sTelepathyHaptic/tactileSmellTasteTwo slides courtesy

of Chris North

Summer term 2008 12

Human Vision

• Highest bandwidth sense• Fast, parallel• Pattern recognition• Pre-attentive• Extends memory and cognitive capacity

(Multiplication test)

• People think visually

Impressive. Lets use it!

Page 7: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

7

Summer term 2008 13

The Challenge

• Transform the data into information(understanding, insight) thus making it useful to people

Summer term 2008 14

Example

Example courtesyof Chris North

Which state has the highest income?Is there a relationship between income and education?Are there any outliers?

Questions:

Page 8: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

8

Summer term 2008 15

Visualize the Data

Per Capita Income

Colle

ge D

egre

e %

Summer term 2008 16

Even Tougher?

• What if you could only see 1 state’s data at a time? (e.g. Census Bureau’s website)

• What if I read the data to you?

Page 9: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

9

Summer term 2008 17

Illustrates Our Approach

• Provide tools that present data in a way to help people understand and gain insight from it

• Cliches− “Seeing is believing”− “A picture is worth a thousand words”

Summer term 2008 18

Exercise Redux

• An interesting query…

• People work differently

Page 10: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

10

Summer term 2008 19

Exercise Redux

Summer term 2008 20

Visualization

• Often thought of as process of making a graphic or an image

• Really is a cognitive process− Form a mental image of something− Internalize an understanding

• “The purpose of visualization is insight, not pictures”− Insight: discovery, decision making,

explanation

Page 11: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

11

Summer term 2008 21

Main Idea

• Visuals help us think− Provide a frame of reference, a temporary

storage area

• External cognition− Role of external world in thinking and reason− Examples?

Summer term 2008 22

Overview

Page 12: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

12

Summer term 2008 23

Scientific Visualization

• Primarily relates to and represents something physical or geometric

• ExamplesAir flow over a wingStresses on a girderWeather over GermanyTorrents inside a tornado Organs in the human body Molecular bonding

Summer term 2008 24

Information Visualization

• What is “information”?− Items, entities, things which do not have a

direct physical correspondence− Notion of abstractness of the entities is

important too− Examples: sport statistics, stock trends,

connections between criminals, query results, software ...

Page 13: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

13

Summer term 2008 25

Information Visualization

• What is “visualization”?− The use of computer-supported, interactive

visual representations of data to amplify cognition.From [Card, Mackinlay, Shneiderman ‘98]

Summer term 2008 26

Information Visualization

• Components:− Taking items without a direct physical

correspondence and mapping them to a 2-D or 3-D physical space.

− Giving information a visual representation that is useful for analysis and decision-making

Page 14: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

14

Summer term 2008 27

Two Key Attributes

• Scale− Challenge often arises when data sets

become very large

• Interactivity− Want to show multiple different perspectives

on the data

Summer term 2008 28

Domains for Info Vis

• Text• Statistics• Financial/business data• Internet information• Software• ...

Page 15: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

15

Summer term 2008 29

Examples

• Images− Are these static pictures information

visualizations?

Summer term 2008 30

Excel

Get rid ofthose darn 3Dbars!

Page 16: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

16

Summer term 2008 31

USA Today Graphics

Or worse yet…

Summer term 2008 32

Minivan Data

Page 17: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

17

Summer term 2008 33

Bullet Train Schedule

Summer term 2008 34

Atlanta Flight Traffic

Atlanta JournalApril 30, 2000

Page 18: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

18

Summer term 2008 35

In LivingColor

Maxim Magazine, July ‘01

Summer term 2008 36

Unemployment Rates

Page 19: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

19

Summer term 2008 37

Country Music

Summer term 2008 38

2000 Election Ballot

Page 20: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

20

Summer term 2008 41

The Comics

UnderstandingComics byScott McCloud

Summer term 2008 42

Hartsfield Airport

Page 21: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

21

Summer term 2008 43

Power Costs

Average cost per month to use

Wall Street JournalAugust 16, 2001

Summer term 2008 44

London Subway www.thetube.com

Page 22: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

22

Summer term 2008 45

True Geographywww.kottke.org/plus/misc/images/tubegeo.gif

Summer term 2008 46

Easy Walking Lines Addedrodcorp.typepad.com/photos/art_2003/tube_walklines_final_lmfaint.html

Page 23: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

23

Summer term 2008 47

SARS Outbreakwww.cdc.gov/mmwr/preview/mmwrhtml/mm5212a1.htm

Summer term 2008 48

Napolean’s March

size of armydirection

latitudelongitude

temperaturedate

From E. TufteThe Visual Display ofQuantitative Information

Minard graphic

Page 24: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

24

Summer term 2008 49

NYC Weather2220 numbers

Tufte, Vol. 1

Summer term 2008 50

Examples

• Software

Page 25: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

25

Summer term 2008 51

Map of the Marketwww.smartmoney.com/marketmap

Demo

Summer term 2008 52

NY Timeformations

www.skyscraper.org/timeformations

Transparent New York

Page 26: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

26

Summer term 2008 53

Philip Glass Music

www.philipglass.com/glassengine

Summer term 2008 54

Ishkur’s Electr. Music Guidewww.ishkur.com/music/#

Page 27: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

27

Summer term 2008 55

Music Plasma

www.musicplasma.com

Summer term 2008 56

StarTree

www.inxight.com

Hyperbolic tree

Page 28: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

28

Summer term 2008 57

SunBurst www.cc.gatech.edu/gvu/ii/sunburst

File browser

Summer term 2008 58

HomeFinder

HCILUniv. Maryland

Page 29: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

29

Summer term 2008 59

Tasks in Info Vis

• Search− Finding a specific piece of information

How many games did the Braves win in 1995?What novels did Ian Fleming author?

• Browsing− Look over or inspect something in a more

casual manner, seek interesting informationLearn about crystallographyWhat has Jane been up to lately?

Summer term 2008 60

Tasks in Info Vis

• Analysis− Comparison-Difference− Outliers, Extremes− Patterns

• Assimilation• Monitoring• Awareness

More to come in a future class…

Page 30: Introduction - uni- · PDF file1 Introduction Information Visualization April 14, 2008 Carsten Görg Slides adapted from John Stasko Summer term 2008 2 Instructor / TA • Carsten

30

Summer term 2008 63

Sources Used

• CMS book• Spence book


Recommended