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4 Types of Data Complexity

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Data complexity is the size and intricacy of data. This has several basic dimensions:

Size

The volume of the data. Generally speaking, large data is more complex than small data.

Structure

The structure of data such as relationships between elements. Data that is entangled with a large number of relationships is generally more complex than data that has a simple structure.

Variety

The heterogeneity of data. Data with diverse structure and values is generally more complex than data with a single structure and repetitive values.

Abstraction

Data that is abstracted is generally more complex than data that isn't. For example, a great novel that is filled with abstractions such as "war" and "peace" is more complex than a file of equivalent length filled with raw data such as temperature readings from a sensor.
Overview: Data Complexity
Type
Definition
The size and intricacy of data.
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