This project analyzes historical sales data for a global company. It includes cleaning, exploration, and visualization of sales trends, top products, customer insights, and deal size breakdown.

SalesDataProject/ ├── data/ → Contains the raw CSV ├── analysis/ → Jupyter notebook analysis ├── visuals/ → Generated graphs & charts └── README.md

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• Python (Pandas, Matplotlib)
• Jupyter Notebook
• Git & GitHub

• The top product line by revenue was Classic Cars
• USA generated the highest sales among all countries
• Medium deal sizes contributed the most revenue
• Clear monthly seasonality observed in sales

• Interactive dashboard with Power BI or Streamlit
• Predictive modeling based on historical trends

1. Clone the repo
2. Open analysis/sales_analysis.ipynb
3. Install dependencies (pip install pandas matplotlib)
4. Run the cells step by step