/crypto-art

Data repository for paper: Quantifying NFT-driven networks in crypto art

Primary LanguageJupyter NotebookMIT LicenseMIT

Crypto Art Data

read_data.py file contains the script to load and process the NFT data. query_FND_graph.ipynb file contains the script to extract the latest data version from Foundation.

Usage :

from read_data import load_data()
art_metadata_df, artist_metadata_df, invited_by_metadata,bidding_df, minting_df, listing_df, max_bid_df,total_artist_earning, total_buyer_spending = load_data()

Stats about the data:

N art minted: 50723
N art listed: 48059
N art re-listed: 1928
N art sold: 15279
N art resold: 138
N creators: 15366
N buyers: 5531
N bids: 37013