Data Visualisation

Question 1

what is visualisation?

Answer 1

showing quantitative and qualitative information so that a viewer can see 
- patterns
- trends or anomalies 
- consistency or variation
in ways that other forms don't allow

Question 2

what makes visualisation effective?

Answer 2

• it leverages visual perception
• human brain can quickly and efficiently process visual information
• at a preconsious level

Question 3

what is the purpose of visualisation?

Answer 3

• making sense of data

- communication of insights (summarise findings, present insights)

Question 4

what are design considerations for communcation?

Answer 4

• clarity
• simple
• consider the medium

Question 5

what are design considerations for visualisation?

Answer 5

• interactivity is important
• show data relations
• show data from different perspectives

Question 6

what is abstract info/data?

Answer 6

• doesn’t have an inherent spatial mapping

- we have to to decide how to map this data to visuals

Question 7

what is shnediemans mantra?

Answer 7

overview first, zoom and filter, then details on demand

Question 8

what are shnediemans seven tasks?

Answer 8

overview
zoom
filter
details on demand
relate
history
extract