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{{extract|date|options}} The following options are available: add=periods to add • Add/subtract time units. fix=on • Adjust invalid time units. partial=on • Accept a year only, or a year and month only. show=what to display • Specifies what should be extracted (such as dayname), or how to format the date (such as mdy).
The format dd.mm.yyyy using dots (which denote ordinal numbering) is the traditional German date format, [65] and continues to be the most commonly used. In 1996, the international format yyyy-mm-dd was made the official date format in standardized contexts such as government, education, engineering and sciences.
In communications messages, a date-time group (DTG) is a set of characters, usually in a prescribed format, used to express the year, the month, the day of the month, the hour of the day, the minute of the hour, and the time zone, if different from Coordinated Universal Time (UTC).
In the current version the export format does not contain an XML replacement of wiki markup (see Wikipedia DTD for an older proposal, or Wiki Markup Language). You only get the wikitext as you get when editing the article. (After export you can use alternative parsers to convert wikitext to other format)
ISO 8601 is an international standard covering the worldwide exchange and communication of date and time-related data.It is maintained by the International Organization for Standardization (ISO) and was first published in 1988, with updates in 1991, 2000, 2004, and 2019, and an amendment in 2022. [1]
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.
Besides differences in the schema, there are several other differences between the earlier Office XML schema formats and Office Open XML. Whereas the data in Office Open XML documents is stored in multiple parts and compressed in a ZIP file conforming to the Open Packaging Conventions, Microsoft Office XML formats are stored as plain single monolithic XML files (making them quite large ...
Depending on the amount and format of the incoming data, data wrangling has traditionally been performed manually (e.g. via spreadsheets such as Excel), tools like KNIME or via scripts in languages such as Python or SQL. R, a language often used in data mining and statistical data analysis, is now also sometimes used for data wrangling. [6]