Car Sales Analysis – Jeffrey Godwin

Live Project | Python (Pandas + Matplotlib + Seaborn)

Link to notebook → analysis.ipynb

What this project does

• Cleans 8,000+ rows of raw car sales data (removes duplicates, fixes formats)
• Calculates revenue and profit
• Finds top-selling models and seasonal trends
• Creates clean charts (bar chart of top models, monthly sales trend)

Tools used

• Python
• Pandas – cleaning & analysis
• Matplotlib & Seaborn – visualizations

How to run

1. Download the repo
2. Put your CSV file and name it car_sales.csv
3. Open analysis.ipynb in Google Colab or Jupyter
4. Run all cells

Sample output

(image will appear when you run the notebook)

Built in December 2025 while learning Python full-time at Mauvin Data Technology, Lagos.

Ready to clean your data too? Message me on Upwork!