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Or simply, using the simpler parameter names, compatible with {{Age in years, months and days}}: {{Age in years, months, weeks and days |month = 1 |day = 1 |year = 1 }} → 2024 years and 6 days; Alternatively, the first set of parameters can be left out to get the time left until a future date, such as the next Wikipedia Day:
This template returns the number of full years, surplus months, and surplus days between two specified dates. If the second set of parameters is not included, it will return the number of years, months and days between a specified date and today's date. Template parameters Parameter Description Type Status Year ('from' date) 1 year The year of the (first) date Number required Month ('from ...
Or simply, using the simpler parameter names, compatible with {{Age in years, months and days}}: {{Age in years, months, weeks and days |month = 1 |day = 1 |year = 1 }} → 2023 years, 11 months, 2 weeks and 6 days; Alternatively, the first set of parameters can be left out to get the time left until a future date, such as the next Wikipedia Day:
{{age in months|23 July 1989}} → 424 {{age in months|30 October 2024|29 November 2024}} → 0 If you use this template for calculating someone's age in months at death or age in months at a certain date (rather than their current age in months), please substitute it into the page, for example: {{subst:age in months|1989|7|23|2003|7|14}}.
This template returns the number of days between two dates. Dates may be input either as full dates or as year, month and day. ... (number of days between dates 1 and ...
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Template:Years or months ago displays the number of years (or months if less than 1 year) between a specified year/month date and the current year/month. It will also work correctly when only the year is given. Optionally, a second year/month date can be specified to be used instead of the current year/month.
Also note that of the above competitors, including Essbase, all use heterogenous relational (Microsoft SQL Server, Oracle, IBM DB/2, TeraData, Access, etc.) or non-relational data sourcing (Excel, text Files, CSV Files, etc.) to feed the cubes (facts and dimensional data), except for Oracle OLAP which may only use Oracle relational sourcing.