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Raw data is a relative term (see data), because even once raw data have been "cleaned" and processed by one team of researchers, another team may consider these processed data to be "raw data" for another stage of research. Raw data can be inputted to a computer program or used in manual procedures such as analyzing statistics from a survey.
The HDRi raw data format is able to store the infrared raw data, which can be used for infrared cleaning, as an additional 16-bit channel. The remainder of the discussion about raw files applies to them as well. Some scanners do not allow the host system access to the raw data at all, as a speed compromise.
Data are analyzed using techniques such as calculation, reasoning, discussion, presentation, visualization, or other forms of post-analysis. Prior to analysis, raw data (or unprocessed data) is typically cleaned: Outliers are removed, and obvious instrument or data entry errors are corrected.
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories.
You can open the file in a plain text editor to view the raw data or you can perform a web search for "JSON parser" to find a third-party app or website that will refine the code into a more friendly format.
Raw Data includes information straight from the data provider without being processed by an algorithm nor human. Processed Data is a data that has been prepared [ 4 ] (somehow modified, validated or cleaned), to be used for future actions.
Often when data is captured in one electronic system and then transferred to another, there is a loss of audit trail or the inherent data cannot be absolutely verified. There are systems that provide for absolute data export but then the system imported into has to allow for all available data fields to be imported.
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