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Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.
Forms processing is a process by which one can capture information entered into data fields and convert it into an electronic format. This can be done manually or automatically, but the general process is that hard copy data is filled out by humans and then "captured" from their respective fields and entered into a database or other electronic format.
Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing, which is the modification (processing) of information in any manner detectable by an observer. [note 1]
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.
AAA also focuses on: information systems, artificial intelligence/expert systems, public interest, auditing, taxation (the American Taxation Association is a Section of the AAA), international accounting, teaching, and curriculum. [4] AAA publishes The Accounting Review, [5] Accounting Horizons and Issues in Accounting Education.
[9] Past recipients: [10] Fred Brooks (1994) Joshua Lederberg (1995) Carver Mead (1997) Saul Amarel (1998) Nancy Leveson (1999) Lotfi A. Zadeh (2000) Ruzena Bajcsy (2001) Peter Chen (2002) David Haussler and Judea Pearl (2003) Richard P. Gabriel (2004) Jack Minker (2005) Karen Spärck Jones (2006) Leonidas Guibas (2007) Barbara J. Grosz and ...
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...
Often parts of the punched card installation, in particular sorters, were retained to present the card input to the computer in a pre-sort form that reduced the processing time involved in sorting large amounts of data. [9] Data processing facilities became available to smaller organizations in the form of the computer services bureau. These ...