I have a fully working qualitative-survey analysis script and now want a fresh pair of eyes on its readability and structure. Runtime logic is solid, so no algorithmic overhauls are needed—just a careful sweep for Google Python Style Guide alignment. Scope • Concentrate on the functions that classify themes. • These routines rely on the third-party library pandas; feel free to note style issues related to that dependency. • Cleaning and export modules are already satisfactory, so only flag them if you discover a glaring inconsistency while reading. What I expect 1. A concise review report (Markdown or PDF) that – pinpoints exact lines or modules, – explains each readability or structural issue, and – cites the relevant Google guideline section. 2. Updated code files or a unified diff showing your recommended edits. Add brief inline comments so I can merge with confidence. Typical improvements include clearer variable and function names, consistent docstrings, logical module boundaries, and any lightweight refactors that boost clarity without altering behaviour. I’ll supply the repository once we start.