Data
Historical-data-on-the-trading-of-cryptocurrencies

Historical-data-on-the-trading-of-cryptocurrencies

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Context This is historical data on cryptocurrency tradings for the period from 2016-01-01 to 2021-02-21. If you enjoy this dataset please upvote so I can see it is popular and I need to update it. Thank you! Content This dataset will be good for data analysis in predicting the price for digital cryptocurrencies.

17 features

trade_datestring1759 unique values
0 missing
volumenumeric1036913 unique values
0 missing
price_usdnumeric402086 unique values
0 missing
price_btcnumeric2053709 unique values
0 missing
market_capnumeric1551095 unique values
0 missing
capitalization_change_1_daynumeric1859661 unique values
0 missing
USD_price_change_1_daynumeric1551455 unique values
0 missing
BTC_price_change_1_daynumeric2099366 unique values
0 missing
crypto_namestring4137 unique values
158849 missing
crypto_typenumeric2 unique values
158849 missing
tickerstring3813 unique values
158849 missing
max_supplynumeric649 unique values
1686465 missing
site_urlstring4025 unique values
161185 missing
github_urlstring2429 unique values
845327 missing
minablenumeric2 unique values
158849 missing
platform_namestring40 unique values
856398 missing
industry_namestring43 unique values
677423 missing

19 properties

2382643
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
4862194
Number of missing values in the dataset.
1993232
Number of instances with at least one value missing.
10
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
83.66
Percentage of instances having missing values.
Average class difference between consecutive instances.
12
Percentage of missing values.
0
Number of attributes divided by the number of instances.
58.82
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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