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The tutorial emphasizes the significance of verifying and reporting on the integrity of clean data after its initial cleaning. Verification is the process of confirming that the data-cleaning efforts were effective, ensuring the resulting data is accurate and reliable. This involves revisiting the clean data set to identify any manual adjustments needed and reflecting on the original project purpose. Proper verification is essential to ensure that the cleaned data is credible and suitable for its intended use, allowing for the identification of errors such as incorrect entries or typos. Overall, verification serves as a crucial step in maintaining data quality.