Diwali Sales Analysis - Python Analysis

1. Introduction

This project analyzes Diwali sales data to uncover customer trends, purchasing behaviors, and product performance. The findings aim to help businesses optimize sales strategies and marketing efforts.

2. Technologies Used

• Python
• Jupyter Notebook
• Pandas
• Matplotlib
• Seaborn

3. Dataset

The dataset Diwali Sales Data.csv contains detailed sales records. Key features include customer demographics, purchase details, and product categories.

4. Data Preprocessing

• Cleaned and transformed the dataset using Python.
• Handled missing values, incorrect data types, and outliers.

5. Key Insights

• Top-performing product categories include 'Food' and 'Clothing & Apparel'.
• Most sales are driven by the 18–30 age group (Young Adults).
• States like Maharashtra and Uttar Pradesh show the highest sales volumes.