Data duplication is an example of:

Question

BlackTom AI · Accepted Answer

Data duplication is a classic example of a data quality issue because it violates the uniqueness and integrity of records.

1) Relevant knowledge points and concepts
- Data quality: attributes like accuracy, completeness, consistency, uniqueness, and timeliness. Poor data quality occurs when one or more attributes are violated.
- Data duplication: the presence of identical or redundant records or values where a single, unique record should exist.
- Data wrangling: the set of tasks (cleaning, transforming) performed to fix issues like duplication.
- Data anomaly: unusual or unexpected data points (outliers) that deviate from normal patterns.
- Regular expression: a pattern-matching tool used for text processing, not a category of data problems.

2) Step-by-step reasoning
Step 1: Identify the problem — duplication means the same entity is recorded multiple times.
Step 2: Map the problem to data quality dimensions — duplication directly affects uniqueness and consistency, leading to inaccurate aggregates and analyses.
Step 3: Determine category — because duplication degrades the trustworthiness and correctness of the dataset, it is a data quality issue.

3) Calculations / intermediate steps
- No numerical calculation is required; reasoning is categorical. Example impact: if 100 unique customers are duplicated once, naive counts show 200 customers -> inaccurate metric.

4) Why the correct answer is correct
- Option b (“Data quality issue”) correctly classifies duplication as a flaw in the dataset’s integrity and uniqueness, which are central data quality dimensions.

5) Why other options are incorrect
- a. Data wrangling task: Wrangling is the process used to remove duplicates, not what duplication itself is.
- c. Regular expression pattern: Regex is a tool/technique, not a type of data problem.
- d. Data anomaly: Anomalies are unusual values or outliers; duplicates are integrity/uniqueness problems rather than single anomalous values.

Conclusion: Data duplication is best classified as b. Data quality issue, which matches the provided answer.

Data duplication is an example of:单项选择题

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