Check sources and responses to build data you can explain.
Step by step, with examples
Instead of collecting only a title and URL, record the reference date, publication date, access date, units, and terms of use in one row. Includes a CSV template and checklist that need no code.
Separate duplicate IDs from blank answers in 10 synthetic responses. State the denominator of valid responses and save counts and percentages per option, plus exclusion reasons, to a new file.
Keep a small research reference list in CSV, normalize DOI text for comparison, and generate a review file for duplicate and missing DOI values. The workflow preserves the original CSV and does not claim that a DOI is valid merely because it is present.
Document what every dataset column means before analysis, including its unit, data type, and allowed values. A small synthetic test dataset shows how the same dictionary can also support simple automated validation.
Try a short search term such as CSV or AI.
All examples are for practice. Automotive data is synthetic and used for illustration.