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C column column reference R row row reference G defines shared value D defines shared expression S references shared value or shared expression N If present, the cell is not protected. If absent and ;N is present in the ID record, cell is protected. P If present, cell is protected. If absent and ;N is absent in the ID record, cell is not ...
A table (called the referencing table) can refer to a column (or a group of columns) in another table (the referenced table) by using a foreign key. The referenced column(s) in the referenced table must be under a unique constraint, such as a primary key. Also, self-references are possible (not fully implemented in MS SQL Server though [5]).
^ Cite error: The named reference foo was invoked but never defined (see the help page). Cite error: A list-defined reference with the name "foo" has been invoked, but is not defined in the <references> tag (see the help page ).
This is not a good idea though, because in cell phones the column will not wrap, and part of the table may extend past the screen (especially in portrait view). Without nowrap , as it appears in a browser:
See below for the kinds of changes that might make an existing reference list disappear. Sometimes the reference list markup exists, but the message is shown because the <ref> tag immediately before the reference list markup does not have a closing </ref> or it is malformed, thus hiding the rest of the text in the article, including the ...
If just 2 columns are being swapped within 1 table, then cut/paste editing (of those column entries) is typically faster than column-prefixing, sorting and de-prefixing. Another alternative is to copy the entire table from the displayed page, paste the text into a spreadsheet, move the columns as you will.
A list-defined reference has a conflicting group attribute "$1" (see the help page). A list-defined reference named "$1" is not used in the content (see the help page). A list-defined reference has no name (see the help page). The named reference "$1" was defined multiple times with different content (see the help page).
Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]