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3 Examples of Data Abstraction

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Data abstraction is the design of data based on abstract concepts as opposed to physical realities. The term is associated with intuitive and easy to understand representations of complex data. The following are illustrative examples.


A weather forecast offers intuitive data based on concepts such as "probability of precipitation" that are based on weather algorithms that process data collected from weather stations and satellites. The concept drops details such as confidence intervals and margin of error.

Data Collection

A metric such as customer satisfaction rate is based on quantification of an abstract question such as "How would you rate our service?" Although the concept of "satisfaction" is abstract it may be taken as seriously as concrete numbers such as revenue.

Data Structures

Programming languages and APIs typically offer abstract data types that provide an intuitive way to store and access data. For example, a List data type allows data to be stored as an ordered sequence. A List offers programmers intuitive methods to access data without the need to understand how data is actually structured and managed.
Overview: Data Abstraction
Definition (1)
Data based on abstract concepts.
Definition (2)
Data based on an intuitive concept.
Definition (3)
Data that is collected, calculated or structured based on a concept that differs from concrete physical realities.
Related Concepts
Next: Abstract Concepts


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Abstract Data
Atomic Data
Big Data
Cohort Analysis
Dark Data
Data Analysis
Data Architecture
Data Attribute
Data Cleansing
Data Collection
Data Complexity
Data Consumer
Data Control
Data Corruption
Data Custodian
Data Degradation
Data Dredging
Data Entity
Data Federation
Data Integration
Data Integrity
Data Liberation
Data Lineage
Data Literacy
Data Loss
Data Management
Data Massage
Data Migration
Data Mining
Data Owner
Data Producer
Data Quality
Data Remanence
Data Risks
Data Rot
Data Science
Data Security
Data States
Data Transformation
Data Uncertainty
Data Veracity
Data View
Data Virtualization
Data Volume
Data Wipe
Decision Support
Deep Magic
Empirical Evidence
Event Data
Hard Data
Information Assurance
Legacy Data
Machine Data
Market Research
Master Data
Misuse of Statistics
Personal Data
Personal Information
Predictive Analytics
Primary Data
Primary Research
Qualitative Data
Qualitative Info
Quantitative Data
Raw Data
Reference Data
Small Data
Soft Data
Source Data
Statistical Analysis
Statistical Population
Structured Data
Transaction Processing
Transactional Data
Types Of Data
Unstructured Data
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