Python Data Analysis Assignment Help

I’m working on a university programming assignment that centres on data analysis with Python. I already have the project brief and sample datasets from my lecturer, but I need a clean, well-commented solution that meets typical academic grading standards and can be explained in detail if asked during a viva.

You will receive:
• The PDF brief outlining the exact questions, grading rubric and any constraints.
• A CSV dataset (or I can swap in a similar file if you prefer a richer example).

What I need in return:
• One self-contained Python 3 script (or Jupyter notebook) that loads the dataset, performs the requested exploratory analysis, applies any statistical tests or visualisations called for in the brief, and prints or plots clear results.
• Inline comments that clarify the logic, plus a short README or markdown cell summarising how to run the code and interpret the outputs.
• Use of standard data-science libraries—pandas, NumPy and Matplotlib/Seaborn are fine unless you suggest better alternatives that still install easily with pip.

Acceptance criteria
1. Runs without modification on a fresh Python 3.10+ environment after a simple pip install -r requirements.txt.
2. Passes all stated rubric tests (I’ll share them up front).
3. Code is logically structured, PEP-8 compliant and under 300 ms import time on a mid-range laptop.
4. Visuals are labelled clearly and save to PNG as well as display inline.

If you’ve tackled similar coursework or professional data-analysis tasks, let me know; I’m happy to provide quick clarifications once you see the brief. Looking to turn this around quickly, so please include an estimated delivery timeframe when you reply.