A data analyst is working on an initial analysis of the dataset in the following table: Which of the following issues should the analyst flag in the data report?

Completeness refers to the absence of missing values, which is a different data quality issue than a single extreme value.

An outlier is a data point that differs significantly from other observations, often indicating a measurement error, an experimental error, or a novelty. Identifying and addressing outliers is a critical step in initial data analysis as they can skew statistical results and impact model performance.

Mismatch refers to inconsistent data types or formats across a dataset, not a value that is numerically extreme within its type.

Duplication refers to identical records appearing multiple times, which is a structural issue, not an issue with the value of a single data point.