I need a concise Python script focused on data handling—specifically data cleaning. The goal is to take raw input, apply clear-cut cleaning rules, and return a tidy, ready-for-analysis dataset. Key points I care about: • Readable, modular code with informative comments and docstrings. • Solid error handling so the script never fails silently. • A short README that explains how to run the script, what libraries are required, and how to adjust the cleaning rules if my data format changes. I’m comfortable with standard libraries (pandas, numpy, etc.), but feel free to pull in any lightweight, well-maintained packages that speed things up. Deliver the finished .py file, any helper modules, and the README. I’m looking for quick turnaround and clean results.