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Two-pass verification, also called double data entry, is a data entry quality control method that was originally employed when data records were entered onto sequential 80-column Hollerith cards with a keypunch. In the first pass through a set of records, the data keystrokes were entered onto each card as the data entry operator typed them.
Their implementation can use declarative data integrity rules, or procedure-based business rules. [2] The guarantees of data validation do not necessarily include accuracy, and it is possible for data entry errors such as misspellings to be accepted as valid. Other clerical and/or computer controls may be applied to reduce inaccuracy within a ...
[1] [2] [3] Typically a DCS displays a form that accepts data input from a user and then validates that input prior to committing the data to persistent storage such as a database. Many computer systems implement data entry forms, but data collection systems tend to be more complex, with possibly many related forms containing detailed user ...
Use of named column variables x & y in Microsoft Excel. Formula for y=x 2 resembles Fortran, and Name Manager shows the definitions of x & y. In most implementations, a cell, or group of cells in a column or row, can be "named" enabling the user to refer to those cells by a name rather than by a grid reference.
Versions of Excel up to 7.0 had a limitation in the size of their data sets of 16K (2 14 = 16 384) rows. Versions 8.0 through 11.0 could handle 64K (2 16 = 65 536) rows and 256 columns (2 8 as label 'IV'). Version 12.0 onwards, including the current Version 16.x, can handle over 1M (2 20 = 1 048 576) rows, and 16 384 (2 14, labeled as column ...
The file is divided into 2 sections: header and data. Everything in DIF is represented by a 2- or 3-line chunk. Headers get a 3-line chunk; data, 2. Header chunks start with a text identifier that is all caps, only alphabetic characters, and less than 32 letters. The following line must be a pair of numbers, and the third line must be a quoted ...
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Referential integrity is a property of data stating that all its references are valid. In the context of relational databases, it requires that if a value of one attribute (column) of a relation (table) references a value of another attribute (either in the same or a different relation), then the referenced value must exist. [1]