I have a dataset that blends free-form text with numerical fields, and it needs a thorough clean-up before I can move on to analysis. Your mission is to audit the file, remove duplicates, fix inconsistent formatting, handle missing values, and flag anything that looks suspect so I can approve changes quickly. Whether you prefer Excel with Power Query, Google Sheets, Python-pandas, or OpenRefine is up to you—as long as the final result is a tidy, analysis-ready table and a brief change log that explains what you did and why. Please share examples of past data-cleaning work you have completed on similar mixed datasets so I can gauge fit and efficiency. Once selected, I’ll provide the file, define any field-specific rules, and set milestones around interim reviews and final delivery.