This repository contains the Customer Behavior Analysis project, where we explore and analyze customer transaction data to uncover insights into purchasing patterns, preferences, and behavior trends.
The dataset used in this analysis is the Store Transaction Dataset from Kaggle. It includes transaction records for customer purchases across various product categories. You can access the dataset here.
The analysis focuses on:
- Identifying top-selling products and categories
- Exploring customer demographics and their purchasing behavior
- Analyzing spending patterns and frequency of purchases
- Gaining insights into seasonality and peak transaction periods
- Python
- pandas
- seaborn
- matplotlib