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The ! indicates cells that are header cells. In order for a table to be sortable, the first row(s) of a table need to be entirely made up out of these header cells. You can learn more about the basic table syntax by taking the Introduction to tables for source editing.
Instead of this template, consider using the data-sort-value attribute, like so: | data-sort-value="Doe, John" | John Doe. Please see WP:SORT § Specifying a sort key for a cell for details. This template is used on approximately 109,000 pages .
Such a component or property is called a sort key. For example, the items are books, the sort key is the title, subject or author, and the order is alphabetical. A new sort key can be created from two or more sort keys by lexicographical order. The first is then called the primary sort key, the second the secondary sort key, etc.
Sorting may refer to: Help:Sortable tables, for editing tables which can be sorted by viewers; Help:Category § Sorting category pages, for documentation of how ...
Shuffling can also be implemented by a sorting algorithm, namely by a random sort: assigning a random number to each element of the list and then sorting based on the random numbers. This is generally not done in practice, however, and there is a well-known simple and efficient algorithm for shuffling: the Fisher–Yates shuffle .
In computing, natural sort order (or natural sorting) is the ordering of strings in alphabetical order, except that multi-digit numbers are treated atomically, i.e., as if they were a single character. Natural sort order has been promoted as being more human-friendly ("natural") than machine-oriented, pure alphabetical sort order.
Cocktail shaker sort, [1] also known as bidirectional bubble sort, [2] cocktail sort, shaker sort (which can also refer to a variant of selection sort), ripple sort, shuffle sort, [3] or shuttle sort, is an extension of bubble sort. The algorithm extends bubble sort by operating in two directions.
In the ideal case of a balanced data set, each bucket will be approximately the same size. If the number m of buckets is linear in the input size n , each bucket has a constant size, so sorting a single bucket with an O ( n 2 ) algorithm like insertion sort has complexity O (1 2 ) = O (1) .