A data analyst runs a data validation script on a dataset containing 10,000 records. The output report indicates that 9,870 records successfully met all validation checks. Which data quality metric represents this count of 9,870?
The 'Rows Passed' metric specifically counts the number of records that have successfully met all defined data quality or validation rules. 'Rows Failed' (or 'Rows Rejected') would be the metric for the 130 records that did not meet the criteria. 'Data Conformity' refers to how well the data aligns with a required format, which is a broader data quality dimension. 'Total Records' refers to the overall count of records (10,000) before validation.
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What is the purpose of data validation in datasets?
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How are 'Rows Passed' and 'Rows Failed' metrics calculated?
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What are examples of data validation rules a script might check?