Data is the result of facts or observations, a logical induction of objective things, and unprocessed raw material used to represent objective things. Data can be continuous values, such as sounds and images, which are called analog data; they can also be discrete, such as symbols and text, which are called digital data. In computer systems, data is represented in the form of binary information units 0,1.
Data refers to symbols that record objective events and can be identified. They record the nature, status and mutual relationships of objective things. Physical symbols or combinations of these physical symbols. It is a recognizable, abstract symbol.
It not only refers to numbers in a narrow sense, but also can be a combination of words, letters, digital symbols, graphics, images, videos, audios, etc. with certain meanings. It is also the attribute, quantity, etc. of objective things. An abstract representation of locations and their relationships. For example, "0, 1, 2...`", "cloudy, rainy, falling, temperature", "students' file records, cargo transportation conditions", etc. are all data. Data becomes information after processing.
In computer science, data refers to the general term for all symbolic media that can be input into a computer and processed by a computer program. It is a number, letter, symbol, and symbol that has a certain meaning and is used to input into an electronic computer for processing. A general name for analog quantities, etc. Computers store and process a wide range of objects, and the data representing these objects are becoming increasingly complex.
The semantics of data
The representation of data cannot fully express its content and needs to be interpreted. Data and explanations about data are inseparable.
For example, 93 is a piece of data, which can be a classmate’s score in a certain course, a person’s weight, or the number of students in the 2013 class of the computer department.
The explanation of data refers to the explanation of the meaning of the data. The meaning of the data is called the semantics of the data. The data and its semantics are inseparable.
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