COBOL Quiz: Data and Task Abstraction Practice Test

Study Notes

Data and Task Abstraction in Visualization

The analysis of data and task abstraction involves understanding what is shown, why the user is looking at it, and how it is presented.
Answering the questions of what and why serve as constraints on the design space for visualization and interaction.
The process of data and task abstraction begins with collecting and generating data.
Data collection methods can include sensors, logs, experiments, human-generated data, and surveys.
Data transformation and processing involve manipulating the data in various ways such as aggregation, collation, sub-setting, filtering, reshaping, and changing the scale.
Data abstraction is about understanding the type, number, category, organization, table, network, and semantics of the data.
Data abstraction can involve grouping data points together, such as (14, 2.6, 30) and (30, 15, 100001), and representing them as points A and B with links.
Data abstraction can also involve representing data as (14, 2.6), (30, 30), and links with weights of 15 and 100001.
Data abstraction is an important step in visualizing and interacting with data.
The specific values mentioned in the example are 14, 2.6, 30, 30, 15, and 100001.
The example demonstrates how data can be abstracted and represented in different ways.
The example also highlights the importance of understanding the meaning and context of the data when performing data abstraction.

Description

Test your understanding of data and task abstraction in this quiz. Learn about what is shown, why the user is looking at it, and how it is presented through visualization and interaction. Explore the role of data collection and generation in the process.