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Another alternative is to copy the entire table from the displayed page, paste the text into a spreadsheet, move the columns as you will. Then reconstruct the table lines with a formula. This formula handles a three column table, reconstructing a single line.
By default, text is aligned to the left of data cells. By default, text is aligned to the center of header cells. All of the above is true in both desktop and mobile view.
To move the header row(s) back up to the top: Select the entire row(s). To select the entire row(s) click on the Calc numbered columns located on the far left of any sheet. Press and hold ALT key. Left click and hold any cell within that section (row numbers won't work). Using the mouse drag and drop the source row(s) to its destination.
A master data recast is another form of data transformation where the entire database of data values is transformed or recast without extracting the data from the database. All data in a well designed database is directly or indirectly related to a limited set of master database tables by a network of foreign key constraints.
1. Transpose: if A is a matrix, denotes the transpose of A, that is, the matrix obtained by exchanging rows and columns of A. Notation is also used. The symbol is often replaced by the letter T or t. 2. For inline uses of the symbol, see ⊤. ⊥ 1.
Note how the use of A[i][j] with multi-step indexing as in C, as opposed to a neutral notation like A(i,j) as in Fortran, almost inevitably implies row-major order for syntactic reasons, so to speak, because it can be rewritten as (A[i])[j], and the A[i] row part can even be assigned to an intermediate variable that is then indexed in a separate expression.
In linear algebra, the transpose of a matrix is an operator which flips a matrix over its diagonal; that is, it switches the row and column indices of the matrix A by producing another matrix, often denoted by A T (among other notations). [1] The transpose of a matrix was introduced in 1858 by the British mathematician Arthur Cayley. [2]
The transpose (indicated by T) of any row vector is a column vector, and the transpose of any column vector is a row vector: […] = [] and [] = […]. The set of all row vectors with n entries in a given field (such as the real numbers ) forms an n -dimensional vector space ; similarly, the set of all column vectors with m entries forms an m ...
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