Google Data Analytics Professional Certification Practice Test

What process involves tracking changes, additions, deletions, and errors during data cleanup?

1. Typecasting

2. Documentation

3. Verification

4. Analysis

The correct answer is: Documentation

The process that involves tracking changes, additions, deletions, and errors during data cleanup is documentation. Documentation is crucial in data analysis and data management because it provides a detailed record of what modifications have been made to the dataset. This includes capturing all alterations, which ensures that there is a clear history of data handling practices. Accurate documentation allows data analysts and teams to understand the context in which data has been altered, ensuring that they can trace back any changes for auditing or troubleshooting purposes. This practice not only aids in maintaining data integrity but also serves as a reference for future analyses, collaborations, and assessments of the dataset's quality. While other processes like typecasting, verification, and analysis are involved in data handling, they do not specifically focus on the systematic recording and oversight of changes made during the data cleanup process. Typecasting involves converting data types, verification ensures the accuracy and validity of data, and analysis pertains to examining data to derive insights, but none directly address the comprehensive tracking aspect that documentation does.