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Crypto Market EDA and Time Series Data
Stock & Market Data
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About
cryptocurrencies with a market capitalisation greater than one billion US dollars, intended for forecasting and analysis. This data is compiled for scientific and educational uses, enabling the study of crypto market patterns and the application of various Data Science technologies. Some information about the cryptocurrencies was gathered by studying materials from Wikipedia and its cited resources.
Columns
- name: The name of the cryptocurrency.
- code: The code or symbol for the cryptocurrency.
- price: The current price of one coin, in US dollars.
- market_cap: The total market value of the cryptocurrency's circulating supply, in billions of US dollars.
- circulating_supply: The total number of coins currently in circulation.
- limit_supply: The maximum possible number of coins that can be created.
- basic_information: The source for the basic information about the cryptocurrency.
- initial_release: The year the cryptocurrency was first released.
- block_reward: The number of coins awarded for mining a new block.
- block_time_sec: The time it takes to mine a new block, in seconds.
- block_size_Mb: The size of a block, in megabytes.
- basic_project: The base currency upon which the current one was developed.
- specifics: Features that make the cryptocurrency distinct from others.
- Kaggle_competitions: A record of Kaggle competitions where the cryptocurrency has been featured.
Distribution
The dataset is provided in a CSV file format named
about_top_cryptocurrencies_1B_information.csv with a size of 6.35 kB. It contains 14 columns.Usage
Ideal applications for this dataset include studying patterns within the cryptocurrency market and testing various Data Science technologies. It is well-suited for exploratory data analysis (EDA) and building forecasting models for top cryptocurrencies.
Coverage
The dataset focuses on cryptocurrencies that have a market capitalisation of over one billion US dollars. The data is intended to be updated quarterly, with fresh information downloaded via an API.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For building and testing predictive models to forecast cryptocurrency prices.
- Students and Academics: For educational purposes and research into crypto market dynamics.
- Financial Analysts: For conducting exploratory data analysis to understand market trends.
- Hobbyists: For personal projects related to time series analysis and cryptocurrency.
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Attributes
Original Data Source:Crypto Market EDA and Time Series Data
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