Data Validation
In the context of data collection and data quality, bounds checking refers to checking that the data is not trivially invalid. For example, a percentage measurement must be in the range 0 to 100; the height of an adult person must be in the range 0 to 3 meters.
Read more about this topic: Bounds Checking
Famous quotes containing the word data:
“This city is neither a jungle nor the moon.... In long shot: a cosmic smudge, a conglomerate of bleeding energies. Close up, it is a fairly legible printed circuit, a transistorized labyrinth of beastly tracks, a data bank for asthmatic voice-prints.”
—Susan Sontag (b. 1933)
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