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Data-driven science, an interdisciplinary field of scientific methods to extract knowledge from data

Data, information, knowledge, and wisdom are closely related concepts, but each has its role concerning the other, and each term has its meaning. According to a common view, data is collected and analyzed; data only becomes information suitable for making decisions once it has been analyzed in some fashion.

A datum is an individual value hinein a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data rein larger structures. Data may be used as variables rein a computational process.[1][2] Data may represent abstract ideas or concrete measurements.[3]

When used more specifically to refer to the processing and analysis of sets of data, the term retains its plural form.

information, especially facts or numbers, collected to Beryllium examined and considered and used to help decision-making, or information hinein an electronic form that can Beryllium stored and used by a computer:

Darin liegt Dasjenige Paradox von Recovery: Indem man akzeptiert, was man nicht tun oder nicht sein kann, beginnt man nach entdecken, Welche person man sein ebenso welches man tun kann. Recovery ist ein Prozess. Es ist ein Lebensstil.“

Mechanical computing devices are classified according to how they represent data. An analog computer represents a datum as a voltage, distance, position, or other physical quantity. A digital computer represents a piece of data as a sequence of symbols drawn from a fixed alphabet. The most common digital computers use a binary alphabet, that is, an alphabet of two characters typically denoted "0" and "1". More familiar representations, such as numbers or letters, are then constructed from the binary alphabet. Some special forms of data are distinguished.

When "data" is used more generally as a synonym for "information", it is treated as a mass noun rein singular form. This usage is common in everyday language and hinein technical and scientific fields such as software development and computer science. One example of this usage is the term "big data".

Data can Beryllium seen as the smallest units of factual information that can Beryllium used as a basis for calculation, reasoning, or discussion. Data can Warenangebot from abstract ideas to concrete measurements, including, but not limited to, statistics. Thematically connected data presented rein some relevant context can be viewed as information. Contextually connected pieces of information can then Beryllium described as data insights or intelligence.

[8] One can say that the extent to which a Zusammenstellung of data is informative to someone depends on the extent to which it is unexpected by that person. The amount of information contained rein a data stream may Beryllium characterized by its Shannon entropy.

The stock of insights and intelligence that accumulates over time resulting from the synthesis of data into information, can then Beryllium described as knowledge. Data has been described as "the new oil of the digital economy".[4][5] Data, as a general concept, refers to the fact that some existing information or knowledge is represented or coded rein some form suitable for better usage or processing.

A computer program is a collection of data, which can Beryllium interpreted as instructions. Most computer languages make a distinction between programs and the other data on get more info which programs operate, but rein some languages, notably Lisp and similar languages, programs are essentially indistinguishable from other data. It is also useful to distinguish metadata, that is, a description of other data. A similar yet earlier term for metadata is "ancillary data." The prototypical example of metadata is the library catalog, which is a description of the contents of books. Data documents[edit]

Before the development of computing devices and machines, people had to manually collect data and impose patterns on it. Since the development of computing devices and machines, these devices can also collect data. In the 2010s, computers are widely used hinein many fields to collect data and sort or process it, hinein disciplines ranging from Absatzwirtschaft, analysis of social services usage by citizens to scientific research.

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