W08 Data Visualisation

Question 1

Why visualize?

Answer 1

explorative analysis

• manual datamining
• find and see connections

decision support and management information
-quick overview of relevant trends and patterns

presentation and argumentation

• underline arguments with quantiative data
• ethics!

Question 2

Good Visualization

Answer 2

• all relevant data (no more)
• think content, not presentation
• no distortion
• make large data understandable
• enable comparisons
• layer details from overview to finer points
• clear purpose
• integrated in context of representation

substance + data analysis+ design

Question 3

3 steps for effective visualization

Answer 3

formulate question
gather and analyze data
apply visual representation

Question 4

Distorting data

Answer 4

• y -axis scale
• modify base line
• switch aggregation level
• areas for one-dimensional data
• visual effects

Deception and ethics!!

Question 5

Histogram - beware of?

Answer 5

bin size!

Detail - Distribution - detail deprivation

Question 6

Pie Charts - beware of?

Answer 6

Proportions!

Question 7

Images and Quantities

Answer 7

direct labels (axes)
encoding (color and shadow)
self-representation (known objects)

Question 8

maximize information content

Answer 8

• smallest effective difference
• minimize ink
• avoid chart junk

Question 9

Use of Color

Answer 9

Sequential -nice
diverging - ok
qualitative - meh

Question 10

Use negative space

Answer 10

invert colors

Question 11

Scaling of Graph

Answer 11

• axes min and max
• aspect ratio
• similarity to others
• beware of sacrificing comparabiltiy to understandbility

Question 12

Show transformations?

Answer 12

multiples and parellelism

Question 13

Infographics

Answer 13

tell a story through

• data visualization
• text
• images

Question 14

Visual Story Telling

Answer 14

Introduction -why?
Main Event -what? aha
conclusion follow up?

Question 15

Media Formats

Answer 15

static to interactive

Question 16

Infographics

Answer 16

• accurate
• key message
• visualize if possible
• minimize text
• be data transparent

Question 17

Animated and Interactive Visualizations

Answer 17

• filter and aggregate on the fly

- web-based presentations