1. Lecture 2
Part 1 – Data and data modeling
Introduction
• Data has many sources
it can be
gathered from sensors or surveys, or
generated by simulations and computations
• Data can be
raw (untreated) or
derived from raw data via some process,
such as
smoothing, noise-removal, scaling, or interpolation
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2. Data Models and Management
• Data
• Data Objects and Models
• Visualization Objects
• Metadata
• Data Retrieval
• DBMS
Data, tasks and simple visualizations
• Data
1D, 2D, 3D, …, nD
Structured and unstructured
• Tasks
Present, Confirm, Explore
Query
Summarize
Analyze
• Simple Visualizations
Points
Line and curves
Charts and graphs
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