marcusrprojects/What-Makes-Art-Valuable

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.

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0