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:
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)