Bounds Checking - Data Validation

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.

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Famous quotes containing the word data:

    “To write it, it took three months; to conceive it three minutes; to collect the data in it—all my life.”
    —F. Scott Fitzgerald (1896–1940)