https://github.com/yadavkaushal/datascience-e-commerce-shopping-details
This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.
https://github.com/yadavkaushal/datascience-e-commerce-shopping-details
data datacleaning dataframe datapreprocessing dataset libraries matplotlib numpy pandas plots visulaization
Last synced: about 1 month ago
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This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.
- Host: GitHub
- URL: https://github.com/yadavkaushal/datascience-e-commerce-shopping-details
- Owner: yadavkaushal
- Created: 2025-03-07T19:26:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-07T19:53:31.000Z (over 1 year ago)
- Last Synced: 2025-03-07T20:32:42.497Z (over 1 year ago)
- Topics: data, datacleaning, dataframe, datapreprocessing, dataset, libraries, matplotlib, numpy, pandas, plots, visulaization
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0