📊 Global Sales Data — Exploratory Data Analysis

This project presents an exploratory data analysis (EDA) of global sales data from a company operating in both online and offline markets.

📁 Dataset Structure

The analysis is based on three CSV files:

• events.csv — historical sales transactions
• products.csv — product category and code mapping
• countries.csv — country and region details

🧪 Project Objectives

• Clean and preprocess raw sales data
• Explore company performance across products, regions, and sales channels
• Visualize key patterns and trends to support data-driven decision-making

🛠️ Tools & Libraries

Python, Pandas, NumPy, Matplotlib, Seaborn, Unidecode

📓 Structure

• Data Overview

• Data Cleaning

• Data Analysis and Visualization

• Sales Performance Analysis and Business Optimization

📍 Outcome

Key business insights and recommendations are summarized in the final section: Sales Performance Analysis and Business Optimization.
All supporting visualizations are presented in the Data Analysis and Visualization section.