Project Overview
This e-commerce customer analysis aims to explore and understand customer habits. Data cleaning/preprocessing was performed using Python in Google Colab, followed by analysis to identify patterns, trends, and the most profitable customer segments, purchase frequency, and average order value. Visualizations were created using Power BI to depict customer distribution by age, location, and purchasing activity, providing key insights into e-commerce customer characteristics and aiding in more effective marketing and sales strategies.