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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:


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


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.


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


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
The size and intricacy of data.
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