📌 About the Project

This project uses a Shopping Trends dataset (CSV) to clean, analyze and visualize consumer shopping behavior. The goal is to uncover meaningful patterns that can help understand customer preferences and sales performance.

🔎 What This Project Does

📋 1. Data Cleaning

• Identifying and handling missing values
• Removing duplicate records
• Ensuring clean and reliable data before analysis

🔍 2. Data Analysis

Uncovering patterns such as:

• 💳 Most popular payment method
• 🛒 Most purchased item overall and by gender
• 📍 Location with the highest sales

📊 3. Data Visualization

• Bar charts (Countplots) used to visually represent findings
• Clear and easy to understand graphs for each insight

🛠️ Technologies Used

| Library | Purpose |

| 🐼 Pandas | Data analysis and manipulation |

| 🔢 NumPy | Calculations and data summary |

| 🎨 Seaborn | Data visualization |

| 📈 Matplotlib | Data visualization |