https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
https://github.com/shrutiii1109/diwali-sales-analysis-through-python
data-analysis jupyer-notebook matplotlib numpy pandas python seaborn
Last synced: 3 months ago
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Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
- Host: GitHub
- URL: https://github.com/shrutiii1109/diwali-sales-analysis-through-python
- Owner: shrutiii1109
- Created: 2025-11-03T11:56:17.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-11-03T12:20:18.000Z (3 months ago)
- Last Synced: 2025-11-03T14:13:12.875Z (3 months ago)
- Topics: data-analysis, jupyer-notebook, matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.3 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🎇 Python Diwali Sales Analysis
Analyze Diwali sales data using Python to improve customer experience and boost sales performance.
This project explores data cleaning, visualization, and insights from real-world sales data.
📁 Project Overview
This project focuses on analyzing Diwali sales data to identify:
The top customers and high-performing regions
Purchase trends by gender, age group, and occupation
Factors influencing sales performance
The goal is to help businesses understand their customer base and strategize marketing campaigns accordingly.
Technologies Used
🐍 Python
📊 Pandas — for data cleaning and manipulation
📈 Matplotlib & Seaborn — for visualization
🧹 NumPy — for numerical operations
📓 Jupyter Notebook — for running and documenting the analysis