This project analyzes automotive sales data from 2001 to 2024.
The main objective is to identify trends in car sales across body types, manufacturers, and fuel types, and to highlight how the market has evolved.
- Rows: 102,892
- Columns: 102
- Features:
BodyType,Make,GenModel,Model,Fuel- Quarterly sales data from 2001Q1 to 2025Q1
- Python (Pandas, NumPy)
- Visualization: Matplotlib, Seaborn, Plotly
- Jupyter Notebook
- Data cleaning & preprocessing
- Exploratory Data Analysis
- Visualization of sales patterns
- Insights & business conclusions
- Top manufacturers by total sales identified.
- Shift in fuel type preference observed over time.
- Clear growth/decline patterns in specific car body types.



