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NFT Top Collections (Timeseries)

Historical data of the top NFT collections

@kaggle.thedevastator_nft_top_collections

About this Dataset

NFT Top Collections (Timeseries)

NFT Top Collections (Timeseries)

Historical data of the top NFT collections

Study how the price of the NFT top collections change over time.
### Data Manual

NFT market have recently taken off thanks to the great media interest and the activity in the market. Top NFT collections were sold at a high price with sometimes an emotional impact on the market.
We studied the top NFT collections that generated the most significant media impact, bringing together the date, the name of the collection, the artist name and the price at which they were sold.

Data Dictionary

Name Description Type Range
NFT Name Name of the NFT (Digital piece of Art) Categorical String
Artist Name of the artist Categorical String
Date Date at which the piece was sold Date 1-Jan-2019 to 31-Dec-2020
Price (USD) Price at which the NFT was sold Continuous Float

Metrics

All Metrics are in USD.

Tables

Nft Sales History

@kaggle.thedevastator_nft_top_collections.nft_sales_history
  • 110.17 KB
  • 1606 rows
  • 11 columns
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CREATE TABLE nft_sales_history (
  "date" TIMESTAMP,
  "sales_usd_cumsum" DOUBLE,
  "number_of_sales_cumsum" BIGINT,
  "active_market_wallets_cumsum" DOUBLE,
  "primary_sales_cumsum" BIGINT,
  "secondary_sales_cumsum" DOUBLE,
  "averageusd_cum" DOUBLE,
  "sales_usd" DOUBLE,
  "number_of_sales" DOUBLE,
  "active_market_wallets" DOUBLE,
  "primary_sales" DOUBLE
);

Nft Top Collections

@kaggle.thedevastator_nft_top_collections.nft_top_collections
  • 86.14 KB
  • 592 rows
  • 17 columns
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CREATE TABLE nft_top_collections (
  "index" DOUBLE,
  "name" VARCHAR,
  "volume" DOUBLE,
  "volume_usd" DOUBLE,
  "market_cap" DOUBLE,
  "market_cap_usd" DOUBLE,
  "sales" DOUBLE,
  "floor_price" DOUBLE,
  "floor_price_usd" DOUBLE,
  "average_price" DOUBLE,
  "average_price_usd" DOUBLE,
  "owners" DOUBLE,
  "assets" DOUBLE,
  "owner_asset_ratio" DOUBLE,
  "category" VARCHAR,
  "website" VARCHAR,
  "logo" VARCHAR
);