README.md

📊 Data Analysis Mini Project 📌 Overview This project demonstrates basic data analysis using Python and Pandas on a CSV dataset. It focuses on extracting insights, performing calculations, and visualizing sales data. Perfect for: Beginners in Data Analysis Internship portfolios Python practice projects 📁 Project Structure data-analysis-mini-project/ │ ├── sales.csv # Dataset ├── analysis.py # Python script for analysis ├── README.md # Project documentation └── output.png # Visualization output 📄 Dataset Description File: sales.csv Column Description OrderID Unique order number Date Order date Product Product name Category Product category Quantity Units sold Price Price per unit Region Sales region 🎯 Project Objectives Load and analyze CSV data Perform data aggregation Generate insights from sales data Visualize results using graphs 🧪 Analysis Performed ✔ Total revenue calculation ✔ Best-selling product ✔ Revenue by category ✔ Revenue by region ✔ Average order value ✔ Bar chart visualization 🛠️ Technologies Used Python Pandas Matplotlib ▶️ How to Run the Project Step 1: Install dependencies pip install pandas matplotlib Step 2: Run the script python analysis.py Step 3: View Output Console displays insights Graph appears or saves as output.png 📈 Sample Insights Electronics generate the highest revenue Laptop is the best-selling product North region has maximum sales Average order value ≈ ₹30,000 🚀 Future Enhancements Add Seaborn visualizations Convert to Jupyter Notebook Add sales prediction model Build dashboard using Streamlit 👨‍💻 Author Krishna Python | Data Analysis | Backend Development