Data can come from various sources like sensors, surveys, or simulations. It can be raw or derived from raw data through processes like smoothing or scaling. Data models and management involve data objects, visualization objects, metadata, retrieval systems, and database management systems. Data comes in different dimensions and structures and is used for presentation, confirmation, exploration, querying, summarizing, and analyzing tasks through simple visualizations like points, lines, charts and graphs. Key data factors include large numbers of parameters and data sets, and multiple data types.

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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