economy of art
Data science practicum, TU Berlin
Developed during a Data Science Practicum at TU Berlin in collaboration with a group, this project explores how characteristics of artworks and artists influence auction prices. Using a dataset of over 37,000 paintings valued at $9.47 billion, it analyzes correlations between features such as color brightness and artist nationality with market value.
Findings suggest a positive correlation between brighter artworks and higher value, while an artist's Western nationality does not, on average, correlate with significantly higher prices.
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