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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.
Raw data (sometimes colloquially called "sources" data or "eggy" data, the latter a reference to the data being "uncooked", that is, "unprocessed", like a raw egg) are the data input to processing. A distinction is made between data and information , to the effect that information is the end product of data processing.
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]
The data in the following example were intentionally designed to contradict most of the normal forms. In practice it is often possible to skip some of the normalization steps because the data is already normalized to some extent. Fixing a violation of one normal form also often fixes a violation of a higher normal form.
The H-AAA is similar to the HLR in voice. The H-AAA stores user profile information, responds to authentication requests, and collects accounting information. Visited AAA (V-AAA): The AAA server in the visited network from which a roamer is receiving service. The V-AAA in the serving network communicates with the H-AAA in a roamer's home network.
The Agricultural Adjustment Act (AAA) was a United States federal law of the New Deal era designed to boost agricultural prices by reducing surpluses. The government bought livestock for slaughter and paid farmers subsidies not to plant on part of their land. The money for these subsidies was generated through an exclusive tax on companies that ...
source: Final Report of the National Commission on the Causes of the Financial and Economic Crisis in the United States, p.229, figure 11.4 Credit rating agencies came under scrutiny following the mortgage crisis for giving investment-grade, "money safe" ratings to securitized mortgages (in the form of securities known as mortgage-backed securities (MBS) and collateralized debt obligations ...
Individual participant data (also known as individual patient data, often abbreviated IPD) is raw data from individual participants, and is often used in the context of meta-analysis. The International Committee of Medical Journal Editors (ICMJE) has stated that sharing of deidentified individual participant data is an ethical obligation.