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Classification Of Data Based On Its Readability Level
Data can be interpreted as a collection of facts, which may be numbers, words, measurements, observations, etc. all of which is translated into a format the can be understood & processed by machines or computer systems. , data is the flow of information that is in a machine-readable format as opposed to human-readable.
When the data is related to any business or computing applications, it is referred to as ‘Big Data’ as it usually comes in several large volumes.
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Now, let’s take a look at the different types in which data can be classified based on its readability level.
Classification Of Data-
Based on the readability level, data can be classified into two different categories.
- Human-Readable Data
Human-readable data can be interpreted as the data that comes in an unstructured format that can be understood or processed only by humans. A simple image or a video file, a random block of text, etc. that requires a human to process it can be stated as the example for Human-Readable Data.
- Machine-Readable Data
Machine-Readable Data refers to the structured format of data that can only be processed by computer programs. A program comprises a set of instructions that help in manipulating this data.
For the programs to perform the set of given instructions on data, the subjected data must be in a structured format.
Structured data can be of various types like
- Personal Data
- Transactional Data
- Web Data
- Sensor Data
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