Final answer:
Verifying and reporting on the integrity of clean data is an important step in the data cleaning process. It ensures that the data used for analysis is accurate and reliable. The steps include checking for completeness, consistency, accuracy, and documenting findings.
Step-by-step explanation:
Verifying and Reporting on the Integrity of Clean Data
Verifying and reporting on the integrity of clean data is an important step in the data cleaning process. It ensures that the data used for analysis is accurate and reliable. Here are the steps to verify and report on the integrity of clean data:
Check for completeness: Make sure that all required fields in the dataset are populated and there are no missing values.
Check for consistency: Look for any inconsistencies or discrepancies in the data. This can include duplicate entries, contradictory information, or outliers.
Check for accuracy: Verify the accuracy of the data by comparing it with reliable sources or conducting independent validation.
Document findings: Record any issues or findings during the verification process and create a report summarizing the integrity of the clean data.
By following these steps, you can ensure that the clean data used for analysis is reliable and trustworthy.