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This template removes the first word of the first parameter. Use |1= for the first parameter if the string may contain an equals sign (=). By default, words are delimited by spaces, but the optional parameter |sep= can set the separator to any character.
Files that use the tab character instead of comma can be more precisely referred to as "TSV" for tab-separated values. Other implementation differences include the handling of more commonplace field separators (such as space or semicolon) and newline characters inside text fields. One more subtlety is the interpretation of a blank line: it can ...
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A stylistic depiction of values inside of a so-named comma-separated values (CSV) text file. The commas (shown in red) are used as field delimiters. A delimiter is a sequence of one or more characters for specifying the boundary between separate, independent regions in plain text, mathematical expressions or other data streams.
In HTTP version 1.x, header fields are transmitted after the request line (in case of a request HTTP message) or the response line (in case of a response HTTP message), which is the first line of a message. Header fields are colon-separated key-value pairs in clear-text string format, terminated by a carriage return (CR) and line feed (LF ...
Replace all consonants (include the first letter) with digits as in [2.] above. Replace all adjacent same digits with one digit, and then remove all the zero (0) digits; If the saved letter's digit is the same as the resulting first digit, remove the digit (keep the letter). Append 3 zeros if result contains less than 3 digits.
type name is «abstract» «tagged» «limited» [record field 1 : type; field 2 : type; ... end record | null record] — Any combination of records, unions, and enumerations (as well as references to those, enabling recursive types). type name (variation : discrete_type) is record case variation is when choice_list 1 =>
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]