Midterm 1 Flashcards
Analytics
Information collection, integration, and analysis
Modern Buisness Analytics
Data-Driven, Math heavy, computerized
SciVis
Scientific Visualization
InfoVis
Information Visualization
VAST
Visual analytics science and technology
Which data type falls under visualizations
Homogenous data type/ well-structured data
Which data type falls under visual analytics
Heterogenous data types/ messy data
Purpose of visualizations
Specific tasks related to the understanding of data
Purpose of visual analytics
focuses on gaining insights by combining the understanding of data from different perspectives
Cognition
Memory, reasoning, encoding
External cognition
external artifacts that help/amplify cognition
Benefits of Interactive Visualization
- Less effort
- Enhanced recognition
- Shifting level of cognition
- More resources
1 Dimensional data types
List, menu items
2 dimensional data types
table, spread sheet
3 dimensional data ttpes
3D Models
Multi-dimensional data types
User profiles
Temporal data type
stock price
tree data type
documents on a flash drive
network data type
facebook friends
text data type
online document
categorical data types
gender, race, eye color
Eye
a sensor to capture external stimuli