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Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]
Natively based on Unicode. Supports many languages and character sets, [which?] including good support for East Asian texts . MD5 document hashes for the elimination of duplicates in results. Batch and real-time indexing modes. Python API. GNOME Shell search provider, WEB interface, and Firefox history extensions.
"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
If your nails are brittle, thin and easily breakable, you may be wondering if it’s time to pay a visit to your dermatologist.. While changes to the color, texture and shape of your nails aren ...
(Reuters) -The U.S. Supreme Court denied on Tuesday a bid by former independent presidential candidate Robert F. Kennedy Jr., who has endorsed Republican Donald Trump, to be removed from the ...
Oregon, Georgia, Boise State and Arizona State all earned first-round byes in the College Football Playoff bracket.
In computer programming, duplicate code is a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons. [ 1 ]