Comprehensive and Detailed In-Depth

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.