Data can range from abstract ideas to concrete measurements, including but not limited to, statistics.

Prior to analysis, raw data (or unprocessed data) is typically cleaned: Outliers are removed and obvious instrument or data entry errors are corrected.ĭata can be seen as the smallest units of factual information that can be used as a basis for calculation, reasoning, or discussion. Data is analyzed using techniques such as calculation, reasoning, discussion, presentation, visualization, or other forms of post-analysis. Experimental data is data that is generated in the course of a controlled scientific experiment. Field data are data that is collected in an uncontrolled in-situ environment. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it.ĭata is collected using techniques such as measurement, observation, query, or analysis, and typically represented as numbers or characters which may be further processed. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. ĭata is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Data may represent abstract ideas or concrete measurements. Data may be used as variables in a computational process. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. A datum is an individual value in a collection of data.

In the pursuit of knowledge, data ( US: / ˈ d æ t ə/ UK: / ˈ d eɪ t ə/) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. These are some of the different types of data.

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