Cryptocurrency Prices Dataset
Daily prices and market capitalization data for All cryptocurrencies
@kaggle.jahaidulislam_cryptocurrency_prices_dataset
Daily prices and market capitalization data for All cryptocurrencies
@kaggle.jahaidulislam_cryptocurrency_prices_dataset
The Cryptocurrency Prices dataset includes prices and market capitalization data for popular cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, and Ripple. The data covers daily prices and market capitalization from the inception of each cryptocurrency up to the present day.
The dataset is well-suited for exploratory data analysis, time series analysis, and predictive modeling tasks related to cryptocurrencies. It can be used to examine historical price trends, correlations between different cryptocurrencies, and the overall market capitalization of the cryptocurrency market. Additionally, the data can be used to build models that predict future prices or market capitalization> of specific cryptocurrencies.
Each row of the dataset represents a single day of trading for a particular cryptocurrency. The columns of the dataset include the following:
The dataset includes data for multiple cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, Ripple, and many others. Each cryptocurrency has its own set of data columns in the dataset.
This dataset can be helpful for data analysts, data scientists, traders, investors, and anyone interested in exploring the cryptocurrency market. It is intended to facilitate research and analysis of the market and the underlying factors affecting various cryptocurrency prices and market capitalization.
CREATE TABLE cryptocurrency_prices_dataset (
"name" VARCHAR,
"symbol" VARCHAR,
"price_usd" DOUBLE,
"volume24h" DOUBLE,
"volume30d" DOUBLE,
"marketcap" DOUBLE,
"dominance" DOUBLE,
"ytdpricechangepercentage" DOUBLE,
"cmcrank" BIGINT,
"marketpaircount" BIGINT,
"circulatingsupply" DOUBLE,
"totalsupply" DOUBLE
);CREATE TABLE cryptocurrency_prices_dataset_v1 (
"name" VARCHAR,
"symbol" VARCHAR,
"price_usd" DOUBLE,
"volume_24h" DOUBLE,
"volume_30d" DOUBLE,
"market_cap" DOUBLE,
"dominance" DOUBLE,
"year_till_date_price_change_percentage" DOUBLE,
"cmc_rank" BIGINT,
"market_pair_count" BIGINT,
"circulating_supply" DOUBLE,
"total_supply" DOUBLE,
"last_updated" VARCHAR
);Anyone who has the link will be able to view this.