Data
BitInfoCharts-clean

BitInfoCharts-clean

active ARFF Public Domain Visibility: public Uploaded 02-06-2024 by Bruno Belucci Teixeira
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Bitcoin data scrapped from BitInfoCharts, with some minor preprocessing. Several Bitcoin related data scrapped directly from BitInfoCharts. 'date' in the format %Y-%m-%d. We have only keep the rows between the max(dates with non NaN values of each column) and min(dates with non NaN values of each column), which leave us with dates between 2014-04-09 and 2023-03-14.

20 features

datestring3262 unique values
0 missing
transactionsnumeric3237 unique values
0 missing
sizenumeric3246 unique values
0 missing
sentbyaddressnumeric3252 unique values
0 missing
difficultynumeric487 unique values
0 missing
hashratenumeric3262 unique values
0 missing
pricenumeric3138 unique values
0 missing
mining_profitabilitynumeric1799 unique values
0 missing
sentinusdnumeric3262 unique values
0 missing
transactionfeesnumeric2341 unique values
0 missing
median_transaction_feenumeric1805 unique values
0 missing
confirmationtimenumeric110 unique values
1 missing
marketcapnumeric3262 unique values
0 missing
transactionvaluenumeric3180 unique values
0 missing
mediantransactionvaluenumeric3246 unique values
0 missing
tweetsnumeric3135 unique values
56 missing
google_trendsnumeric2559 unique values
0 missing
activeaddressesnumeric3237 unique values
22 missing
top100capnumeric2375 unique values
6 missing
fee_to_rewardnumeric2448 unique values
0 missing

19 properties

3262
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
85
Number of missing values in the dataset.
78
Number of instances with at least one value missing.
19
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
2.39
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.13
Percentage of missing values.
95
Percentage of numeric attributes.
0.01
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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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