Learning to Visualize: Surviving in the World of Data Nam Wook Kim - - PowerPoint PPT Presentation

▶
learning to visualize surviving in the world of data
SMART_READER_LITE
LIVE PREVIEW

Learning to Visualize: Surviving in the World of Data Nam Wook Kim - - PowerPoint PPT Presentation

Apr 08, 2024 286 likes •886 views

Learning to Visualize: Surviving in the World of Data Nam Wook Kim Mini-Courses January @ GSAS 2019 About Me Nam Wook Kim 5th-Year Ph.D. Student Computer Science Department Information Visualization & Human-Computer Interaction

slide-1
SLIDE 1

Learning to Visualize: Surviving in the World of Data

Nam Wook Kim Mini-Courses — January @ GSAS 2019
slide-2
SLIDE 2

About Me

slide-3
SLIDE 3

Nam Wook Kim

5th-Year Ph.D. Student Computer Science Department Information Visualization & Human-Computer Interaction

slide-4
SLIDE 4

About You

slide-5
SLIDE 5

Goal

To learn how to design effective visualization

slide-6
SLIDE 6

Goal

To learn how to evaluate visualization design

slide-7
SLIDE 7
  • 1. Value of visualization
  • 2. Design principles
  • 3. Graphical perception

Today

Fundamental

slide-8
SLIDE 8
  • 1. Data model and visual encoding
  • 2. Exploratory data analysis
  • 3. Storytelling with data
  • 4. Advanced visualizations

Practical

Tomorrow

slide-9
SLIDE 9
  • 1. Data model and visual encoding
  • 2. Exploratory data analysis
  • 3. Storytelling with data
  • 4. Advanced visualizations

Practical

Tomorrow

Tableau {

slide-10
SLIDE 10

The Value of Visualization

slide-11
SLIDE 11

Big Data Small Data Data Everywhere

slide-12
SLIDE 12

Health & Medicine

Replace with a visualization example. Event sequence analysis?? Medical visualization (scientific)
slide-13
SLIDE 13

Transportation

https://eng.uber.com/data-viz-intel/
slide-14
SLIDE 14

Economy

http://atlas.cid.harvard.edu/
slide-15
SLIDE 15

Public Safety

https://www.trulia.com/real_estate/Cambridge-Massachusetts/crime/
slide-16
SLIDE 16

Human Activity

slide-17
SLIDE 17
slide-18
SLIDE 18

The Industrial Revolution of Data

Joe Hellerstein, UC Berkley, 2008

slide-19
SLIDE 19

“The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades …’’

Hal Varian, Google’s Chief Economist The McKinsey Quarterly, January 2009

Data Literacy

slide-20
SLIDE 20

“…Information consumes the attention of its

  • recipients. Hence … a need to allocate that attention

efficiently among the overabundance of information sources that might consume it.”

Herbert A. Simon Economist & Psychologist

A Poverty of Attention

slide-21
SLIDE 21

Collage of visualizations Visualization can help!

provides a powerful yet accessible way to make sense of large and complex data

slide-22
SLIDE 22

What is Visualization?

slide-23
SLIDE 23

“visual representations of data to amplify cognition.” —Card, Mackinlay, & Shneiderman 1999 “... finding the artificial memory that best supports

  • ur natural means of perception.”

—Bertin 1967 “Transformation of the symbolic into the geometric” —McCormick et al. 1987

slide-24
SLIDE 24

...to convey information through graphical representations

slide-25
SLIDE 25

Summary Statistics uX = 9.0 σX = 3.317 uY = 7.5 σY = 2.03

A B C D X Y X Y X Y X Y 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25 4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50 12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91 5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.8

Linear Regression Y = 3 + 0.5 X R2 = 0.67

Anscombe’s Quartet

slide-26
SLIDE 26 Y 4 8 11 15 X 4 8 11 15 Y 4 8 11 15 X 4 8 11 15 Y 4 8 11 15 X 4 8 11 15 Y 4 8 11 15 X 5 10 15 20

A B C D

slide-27
SLIDE 27

...make both calculations and graphs. Both sorts of output should be studied; each will contribute to understanding.

“

  • F. J. Anscombe, 1973
slide-28
SLIDE 28

Matejka & Fitzmaurice 2017

All distinct datasets with same statistical properties

slide-29
SLIDE 29

Why Create Visualizations?

slide-30
SLIDE 30

Why Create Visualizations?

  • Answer questions (or discover them)
  • Make decisions
  • See data in context
  • Expand memory
  • Support graphical calculation
  • Find patterns
  • Present argument or tell a story
  • Inspire
slide-31
SLIDE 31

Three functions of visualization

  • 1. Record
  • 2. Analyze
  • 3. Communicate
slide-32
SLIDE 32

Record Information

slide-33
SLIDE 33

6200 BC

slide-34
SLIDE 34

Leonardo da Vinci 1485

slide-35
SLIDE 35

Galileo Galilei's 
 Sketches of the Moon

(November-December 1609)
slide-36
SLIDE 36
  • E. J. Muybridge, 1878
slide-37
SLIDE 37

Support Reasoning

slide-38
SLIDE 38

Analyze

John Snow, the Cholera Epidemic 1854
slide-39
SLIDE 39

Analyze

Plotted the position of each cholera case on a map. [from Tufte 83]

Seeing Data in Context

slide-40
SLIDE 40

The Broad Street Well

Used map to hypothesize that pump on Broad St. was the cause. [from Tufte 83]
slide-41
SLIDE 41

Space Shuttle Challenger Disaster (1986)

  • approx. 73 seconds after
slide-42
SLIDE 42

Rubber O-rings had problems with cold temperatures.

slide-43
SLIDE 43 One of original reports sent to NASA officials before launch
slide-44
SLIDE 44
slide-45
SLIDE 45 [Edward Tufte 1997]

Use a right visualization to make a right decision

slide-46
SLIDE 46 "since the middle of the 20th century, theoretical physicists have increasingly turned to this tool to help them undertake critical calculations” — David Kaiser

Expand Memory: Feynman Diagram (1948)

slide-47
SLIDE 47

Now: Exploratory analysis in modern visualization software

Tableau

slide-48
SLIDE 48

Convey Information to Others

slide-49
SLIDE 49 Death from wounds in battle Death from other causes Death from disease

“to affect thro’ the Eyes what we fail to convey to the public through their word-proof ears” - Nightingale

Nightingale’s Coxcomb of Crimean War Deaths 1867
slide-50
SLIDE 50

Napoleon’s March to Moscow [Charles Joseph Minard 1812]

422,000 10,000 survived Temperature drops during the retreat
slide-51
SLIDE 51

[Joseph Priestley 1765]

slide-52
SLIDE 52 William Playfair 1786
slide-53
SLIDE 53 William Playfair 1821
slide-54
SLIDE 54

Now: Storytelling with data: Infographics, dashboards, etc.

slide-55
SLIDE 55

The Value of Visualization

Record information

Blueprints, photographs, seismographs, …


Analyze data to support reasoning

Develop and assess hypotheses 
 Explore patterns and discover the unknown
 Expand memory

Communicate information to others

Explain and persuade
 Share and inspire
slide-56
SLIDE 56

Goals of Visualization Research

Understand how people perceive/comprehend visualizations Develop principles and techniques for effective visualizations

slide-57
SLIDE 57

Is this good, bad or weird?

Data Visualization: The Good, the Bad, the Weird

Next

slide-58
SLIDE 58

5 min break