Data consistency refers to ensuring that all values in a dataset follow a uniform format and structure. In this dataset:
One age value is recorded as "65F," which includes anextra character (F)that makes it inconsistent with other numeric age values.
The date formats are inconsistent (6/1/22 vs. 6/19/2022), but this is unrelated to the age issue.
Option A (Completeness):Incorrect. There are no missing values in the age column.
Option B (Consistency):Correct.The age data should be consistently formatted asnumeric values only, without extra characters like "F."
Option C (Accuracy):Incorrect. There is no evidence that theactual age valuesare incorrect, only that they are formatted inconsistently.
Option D (Manipulation):Incorrect. There is no indication that the data was intentionally altered for deception.
[Reference:TheCompTIA Data+ Certification Exam Objectiveslistdata consistencyas a crucial dimension of data quality., , , ]
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