Exploratory Data Analysis of Online Sales Dataset

This project focuses on performing a comprehensive Exploratory Data Analysis (EDA) on an online retail sales dataset.

The main objective of the analysis is to understand customer purchasing behavior, identify the best-selling product categories, evaluate revenue performance across different regions, and compare the effectiveness of various payment methods.

The dataset includes transactional sales records with information such as product category, units sold, unit price, total revenue, region, and payment method. During the analysis, the data was cleaned, missing values were handled, numerical distributions were explored, and visualizations were created to uncover key trends and patterns.

Through the use of Python data analysis libraries such as Pandas, NumPy, Matplotlib, and Seaborn, insights were generated to support decision-making related to product focus, pricing strategies, and regional market targeting.