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data-s

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This project scrapes and analyzes auction data from Christie's and Sotheby's using Python, Selenium, and Pandas. It explores factors influencing artwork prices, particularly auction house estimates and artist popularity (measured via Yahoo search trends). It includes multi-stage scrapers, data cleaning notebooks, and exploratory data analysis.

  • Updated Apr 28, 2025
  • Jupyter Notebook

This repository is a curated blend of Python practice files, SQL assignments, and essential learning resources. It features hands-on tutorials using libraries like Pandas, NumPy, Matplotlib, and Seaborn, along with foundational DSA code and eBooks to support structured learning.

  • Updated Jun 26, 2025
  • Jupyter Notebook

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