Baselight

Bitcoin Transactions

This dataset could be used to gain insights into Bitcoin transaction volume

@kaggle.robsonkoji_bitcoin_transactions

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About this Dataset

Bitcoin Transactions

This dataset is an extraction of Bitcoin Blockchain Historical Data from Google BigQuery:
https://www.kaggle.com/datasets/bigquery/bitcoin-blockchain

Source

It is a public dataset that is available on Google Cloud's BigQuery platform and contains various data related to the Bitcoin cryptocurrency.

This dataset includes information on Bitcoin's transaction history, market prices, mining statistics, and other related data. It is frequently used by data analysts and researchers to gain insights into the behavior of the Bitcoin network and cryptocurrency market trends.

Dataset

The dataset would have the following fields:

Date of Transaction: This field would represent the date and time when the transaction was processed. It was splited in day, month and year.

Number of Transactions: This field would represent the total number of transactions that occurred during the given time period.

Input Value: This field would represent the total value of Bitcoin that was used as input for the transaction. In other words, it would represent the total value of Bitcoin that was sent from the sender's address(es) to the receiver's address(es).

Output Value: This field would represent the total value of Bitcoin that was received by the receiver's address(es) as a result of the transaction.

Fee: This field would represent the transaction fee paid by the sender to the miner for including the transaction in a block.

The dataset would be aggregated by the Date of Transaction field, so that each record would represent a single day's worth of Bitcoin transaction data. The values in the Number of Transactions, Input Value, Output Value, and Fee fields would be the sum of all transactions that occurred on that particular day.

This dataset could be used to gain insights into Bitcoin transaction volume, the flow of Bitcoin between different addresses on a daily basis, as well as the fees paid by Bitcoin users for their transactions. By analyzing the data in this dataset, one could identify trends in Bitcoin usage and adoption, as well as gain a better understanding of the factors that affect transaction fees in the Bitcoin network.

Tables

Bitcoin Transactions Confirmed

@kaggle.robsonkoji_bitcoin_transactions.bitcoin_transactions_confirmed
  • 194.39 KB
  • 4937 rows
  • 8 columns
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CREATE TABLE bitcoin_transactions_confirmed (
  "unnamed_0" BIGINT,
  "transactions" BIGINT,
  "input_value" DOUBLE,
  "output_value" DOUBLE,
  "fee" DOUBLE,
  "day" BIGINT,
  "month" BIGINT,
  "year" BIGINT
);

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