Data
Digital-currency---Time-series

Digital-currency---Time-series

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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Context Howdy folks! I have prepared a starter dataset for time series practice. This is my 1st upload. Any questions/feedback are welcome. Content The data was prepared using Alpha Vantage API The data represents historical daily time series for a digital currency (BTC) traded on the Saudi market (SAR/Sudi Riyal) Prices and volumes are quoted in both SAR USD. Data date range: 2018-05-11 to 30.01.2021 Task: Use the past to predict the future! Check Tasks tab Acknowledgements Special thanks to all my instructors and friends at GA.

10 features

Unnamed:_0string1000 unique values
0 missing
open_SARnumeric1000 unique values
0 missing
open_USDnumeric1000 unique values
0 missing
high_SARnumeric966 unique values
0 missing
high_USDnumeric966 unique values
0 missing
low_SARnumeric970 unique values
0 missing
low_USDnumeric970 unique values
0 missing
close_SARnumeric999 unique values
0 missing
close_USDnumeric999 unique values
0 missing
volumenumeric990 unique values
0 missing
Show all 10 features

19 properties

NumberOfInstances
1000
Number of instances (rows) of the dataset.
NumberOfFeatures
10
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
9
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
90
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

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