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NFT Collection Performance Metrics
Crypto & Blockchain Transactions
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About
This dataset provides detailed, all-time statistics for over 250 unique NFT collections, including key metrics such as sales figures, the number of buyers, transaction counts, and ownership information. It serves as a valuable resource for analysing trends and performance within the NFT market. The dataset is regularly updated on a monthly basis to ensure the data remains current.
Columns
- Collections: The name of the NFT collection.
- Sales: The total sales value for each collection.
- Buyers: The total number of unique buyers for each collection across all time.
- Transactions: The total number of transactions recorded for each collection across all time.
- Owners: The total number of unique owners for each collection across all time.
Distribution
The dataset is provided as a CSV file (nft_sales.csv) and has a file size of approximately 13.51 KB. It contains 250 individual records (rows), with full data available for Collections, Sales, Buyers, and Transactions. While most owner data is present, there are a small number of records where owner information is currently missing (8% missing for owners).
Usage
This dataset is ideal for a variety of analytical and research purposes, including:
- Identifying NFT collections with the highest all-time buyer engagement.
- Exploring potential correlations between buyer activity and sales performance.
- Performing exploratory data analysis (EDA) and creating visualisations to understand market dynamics.
- Estimating the amount of Ether (ETH) earned by specific NFT collections.
- Analysing trends in NFT ownership and transaction volumes.
Coverage
The dataset provides all-time statistics for a wide range of NFT collections, primarily focusing on general market performance metrics. It does not contain specific geographic or demographic data. The data reflects historical performance up to the most recent update.
License
CC0: Public Domain
Who Can Use It
This dataset is well-suited for a wide range of users, particularly beginners in data science, cryptocurrency, or NFT markets. It can be used by:
- Data analysts looking to practice their skills with real-world market data.
- Researchers interested in the mechanics and trends of the NFT economy.
- Students learning about data analysis, especially with tools like pandas and Matplotlib.
- Investors seeking insights into top-performing NFT collections and market behaviour.
- Developers who want to integrate NFT market data into their applications or models.
Dataset Name Suggestions
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Attributes
Original Data Source: NFT Collection Performance Metrics
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