Data Quality Issues Analysis
Analyze a dataset and list the types of data quality issues present, such as nulls, outliers, formatting inconsistencies, or duplicate rows.
Prompt
Analyze this dataset and list the types of data quality issues you see — like nulls, outliers, formatting inconsistencies, or duplicate rows.