https://github.com/dishaaggarwal31/python_diwali_sales_analysis
Analyze Diwali sales data to improve customer experience and sales using Python
https://github.com/dishaaggarwal31/python_diwali_sales_analysis
Last synced: 6 months ago
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Analyze Diwali sales data to improve customer experience and sales using Python
- Host: GitHub
- URL: https://github.com/dishaaggarwal31/python_diwali_sales_analysis
- Owner: DishaAggarwal31
- Created: 2023-10-19T18:19:08.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-19T18:25:01.000Z (almost 2 years ago)
- Last Synced: 2025-04-12T02:39:33.069Z (6 months ago)
- Language: Jupyter Notebook
- Size: 549 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Python_Diwali_Sales_Analysis
Analyze Diwali sales data to improve customer experience and sales using Python
Key Points:
1. Performed data cleaning and manipulation
2. Performed exploratory data analysis (EDA) using python libraries like pandas, matplotlib and seaborn.
3. Improved customer experience by identifying potential customers across different states, occupation, gender and age-groups.
4. Improved sales by identifying most selling product categories and products, which can helpto plan inventory and hence meet demands.