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  2. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    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 ]

  3. Delete (SQL) - Wikipedia

    en.wikipedia.org/wiki/Delete_(SQL)

    You can undo the operation of removing records by using the ROLLBACK command; DELETE requires a shared table lock; Triggers fire; DELETE can be used in the case of: database link; DELETE returns the number of records deleted; Transaction log - DELETE needs to read records, check constraints, update block, update indexes, and generate redo / undo.

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Excel offers many user interface tweaks over the earliest electronic spreadsheets; however, the essence remains the same as in the original spreadsheet software, VisiCalc: the program displays cells organized in rows and columns, and each cell may contain data or a formula, with relative or absolute references to other cells.

  5. LibreOffice - Wikipedia

    en.wikipedia.org/wiki/LibreOffice

    Addition of a “Handle Duplicate Records” dialog to select/remove duplicate records in Calc; Solver models can be saved into spreadsheets and Solver is able to provide a sensitivity analysis report; Addition of new sheet protection options related to Pivot Tables, Pivot Charts and AutoFilters

  6. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    Even though the row is indicated by the first index and the column by the second index, no grouping order between the dimensions is implied by this. The choice of how to group and order the indices, either by row-major or column-major methods, is thus a matter of convention. The same terminology can be applied to even higher dimensional arrays.

  7. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    (January 2025) (Learn how and when to remove this message) Regexes are useful in a wide variety of text processing tasks, and more generally string processing , where the data need not be textual. Common applications include data validation , data scraping (especially web scraping ), data wrangling , simple parsing , the production of syntax ...

  8. Point of sale - Wikipedia

    en.wikipedia.org/wiki/Point_of_sale

    The point of sale (POS) or point of purchase (POP) is the time and place at which a retail transaction is completed.At the point of sale, the merchant calculates the amount owed by the customer, indicates that amount, may prepare an invoice for the customer (which may be a cash register printout), and indicates the options for the customer to make payment.