OpenML
CompleteCryptocurrencyMarketHistory

CompleteCryptocurrencyMarketHistory

active ARFF CC0PublicDomain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
CryptocurrenciesCryptocurrenciesarefastbecomingrivalstotraditionalcurrencyacrosstheworldThedigitalcurrenciesareavailabletopurchaseinmanydifferentplacesmakingitaccessibletoeveryoneandwithretailersacceptingvariouscryptocurrenciesitcouldbeasignthatmoneyasweknowitisabouttogothroughamajorchangeInadditiontheblockchaintechnologyonwhichmanycryptocurrenciesarebasedwithitsrevolutionarydistributeddigitalbackbonehasmanyotherpromisingapplicationsImplementationsofsecuredecentralizedsystemscanaidusinconqueringorganizationalissuesoftrustandsecuritythathaveplaguedoursocietythroughouttheagesIneffectwecanfundamentallydisruptindustriescoretoeconomiesbusinessesandsocialstructureseliminatinginefficiencyandhumanerrorContentThedatasetcontainsallhistoricaldailypricesopenhighlowcloseforallcryptocurrencieslistedonCoinMarketCapAcknowledgementsEveryCryptocurrencyDailyMarketPriceIinitiallydevelopedkernelsforthisdatasetbeforemakingmyownscraperanddatasetsothatIcouldkeepitregularlyupdatedCoinMarketCapForthedata

9 features

Unnamed:_0numeric1979 unique values
0 missing
Datestring1979 unique values
0 missing
Symbolstring887 unique values
0 missing
Opennumeric170357 unique values
0 missing
Highnumeric174023 unique values
0 missing
Lownumeric167455 unique values
0 missing
Closenumeric170439 unique values
0 missing
Volumenumeric143918 unique values
5335 missing
Market_Capnumeric407618 unique values
64377 missing

19 properties

632218
Number of instances (rows) of the dataset.
9
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
69712
Number of missing values in the dataset.
69712
Number of instances with at least one value missing.
7
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
77.78
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.
0
Percentage of binary attributes.
11.03
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.23
Percentage of missing values.

0 tasks

Define a new task