With Latest Updates
Data processing ANS user knows what he/she wants and has a function to compute it
Querying ANS user knows what he or she wants and can describe it
Navigation ANS user knows what he or she wants and use cannot describe it or locate it
Exploration ANS user doesn't know what he or she wants. Wants to acquire new knowledge and reveal
new facts
5 Types of Exploration Tools ANS 1. Analysis (identify common patterns or outliers)
2. Comparison (quantify similarities/differences)
3. Aggregation (create groups and clusters)
4. Transformation (use a more convenient representation)
5. Visualization
3Vs ANS Volume, velocity, variety
HMLE ANS High dimensional (lots of different things we want to explore)
Multi modal (different ways needed to visualize it)
Inter-linked (data is linked, sometimes null, sometimes implicit)
Evolving (underlying patterns change)
INS ANS Imprecision
Noise
Sparsity
, Cognition ANS The mental action of efficiently and effectively being able to process information into
thoughts, knowledge, and insights
Visualization ANS Graphically representing data to assist the processing of information into knowledge,
insights, and thoughts.
Uses exploratory data analysis to find trends and patterns in datasets.
Main components of a sequence ANS starting point, ending point, length
Data Deluge ANS A vast increase in the amount of data generated by individuals and businesses.
Dynamic visualization ANS displays a single interactive visualization of data
Features ANS vector representations of objects in a dataset
Schema ANS structure and properties of a data collection
Schemas enable retrieval of data for what? ANS Comparison, indexing, query optimization, and query
processing
qualitative color scheme ANS best for nominal data
What are Bertin's 7 visual variables? ANS 1. Position
2. Size
3. Shape
4. Rotation
5. Color
6. Texture
7.