Match the AI$-$generated data quality recommendations to their descriptions.

Deletion of Incomplete

Records

Imputation Techniques

Standardization of Formats

Sample Size Preservation

Potential Bias Introduction

Contextual Relevance

Transparency and

Justification

$1.$ Understanding relationships between variables in data.

$2.$ Filling in missing data using statistical methods.

$3.$ Documenting methods clearly for stakeholder trust.

$4.$ Normalizing entries for consistency across the dataset.

$5.$ Risk of skewing results by deleting records from certain demographics.

$6.$ Removing any records with missing values.

$7.$ Retaining valuable information by not deleting records.