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data_quality_dimension:consistency [2023/03/12 17:26] peter |
data_quality_dimension:consistency [2024/03/08 13:33] (current) |
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| * Record level consistency is the degree to which two [[data_concept: | * Record level consistency is the degree to which two [[data_concept: | ||
| - | ===Relation(s)=== | + | ===Relation=== |
| - | | + | |Consistency| is a [[general_term: |
| - | * Consistency | + | |
| - | * Consistency is a [[general_term: | + | |
| - | * Consistency is a [[general_term: | + | |
| ===Examples== | ===Examples== | ||
| Line 31: | Line 29: | ||
| Data quality rule: City names are spelled out in a uniform manner. | Data quality rule: City names are spelled out in a uniform manner. | ||
| - | ===Inconsistency between two files=== | + | ==Inconsistency between two files== |
| ^ ID ^ Initials | ^ ID ^ Initials | ||
| | 4320 | T | Sanders | | 4320 | T | Sanders | ||
| Line 39: | Line 38: | ||
| | 4320 | T.M.D | Sanders | | 4320 | T.M.D | Sanders | ||
| - | Inconstistency: Different initials of the same customer. | + | Inconsistency: Different initials of the same customer.\\ |
| Data quality rule: Initials of the same person are the same. | Data quality rule: Initials of the same person are the same. | ||
| + | ==Inconsistency over time== | ||
| + | ^ License plate ^ Date ^ Mileage | ||
| + | | 123-RT-97 | ||
| + | | 123-RT-97 | ||
| + | Inconsistency: | ||
| + | Data quality rule: Maileage increases over time or remained the same. | ||
| - | + | ===Reference=== | |
| - | ===Reference(s)=== | + | |
| DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https:// | DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https:// | ||
| + | |||
| + | {{tag> | ||