📊 Sales Data Analysis

This project performs an analysis of sales data using Python. It includes multiple visualizations that reveal sales trends, product performance, and regional breakdowns.

📁 Dataset

The dataset includes:

• Date
• Product
• Region
• Quantity
• Sales

📈 Visualizations

• 🕒 Total Sales Over Time
• 🏷️ Sales by Product
• 🌍 Quantity Distribution by Region
• 📉 Sales vs Quantity (Scatter)
• 🔥 Correlation Heatmap

📌 Tools Used

• Python (Pandas, Matplotlib, Seaborn)
• Google Colab
• GitHub

💡 Key Insights

• Which products performed best
• Regional demand distribution
• Relationship between quantity and sales
• Time-based sales trends

🚀 How to Run

1. Open the notebook in Google Colab
2. Upload your own sales-data.csv file
3. Run each cell one by one

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📬 Contact

For collaboration or freelance work: sulaiman01626@gmail.com