OpenML
Currency-Exchange-Rates

Currency-Exchange-Rates

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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This dataset contains the daily currency exchange rates as reported to the International Monetary Fund by the issuing central bank. Included are 51 currencies over the period from 01-01-1995 to 11-04-2018. The format is known as currency units per U.S. Dollar. Explained by example, each rate in the Euro column says how much U.S. Dollar you had to pay at a certain date to buy 1 Euro. Hence, the rates in the column U.S. Dollar are always 1.

52 features

Datestring5978 unique values
0 missing
Algerian_Dinarnumeric1791 unique values
4112 missing
Australian_Dollarnumeric3172 unique values
263 missing
Bahrain_Dinarnumeric1 unique values
69 missing
Bolivar_Fuertenumeric18 unique values
3664 missing
Botswana_Pulanumeric1575 unique values
1275 missing
Brazilian_Realnumeric4551 unique values
539 missing
Brunei_Dollarnumeric2986 unique values
1246 missing
Canadian_Dollarnumeric3589 unique values
356 missing
Chilean_Pesonumeric4220 unique values
1220 missing
Chinese_Yuannumeric2415 unique values
1316 missing
Colombian_Pesonumeric5065 unique values
582 missing
Czech_Korunanumeric3535 unique values
1850 missing
Danish_Kronenumeric5024 unique values
251 missing
Euronumeric3310 unique values
1070 missing
Hungarian_Forintnumeric3815 unique values
1415 missing
Icelandic_Kronanumeric3397 unique values
354 missing
Indian_Rupeenumeric2543 unique values
429 missing
Indonesian_Rupiahnumeric2173 unique values
1492 missing
Iranian_Rialnumeric3740 unique values
1312 missing
Israeli_New_Sheqelnumeric1325 unique values
1939 missing
Japanese_Yennumeric2382 unique values
316 missing
Kazakhstani_Tengenumeric1578 unique values
3051 missing
Korean_Wonnumeric3124 unique values
601 missing
Kuwaiti_Dinarnumeric1181 unique values
1054 missing
Libyan_Dinarnumeric9 unique values
123 missing
Malaysian_Ringgitnumeric2368 unique values
301 missing
Mauritian_Rupeenumeric3432 unique values
2460 missing
Mexican_Pesonumeric3570 unique values
2266 missing
Nepalese_Rupeenumeric1734 unique values
479 missing
New_Zealand_Dollarnumeric3037 unique values
310 missing
Norwegian_Kronenumeric5102 unique values
291 missing
Nuevo_Solnumeric609 unique values
4297 missing
Pakistani_Rupeenumeric2658 unique values
488 missing
Peso_Uruguayonumeric1447 unique values
4287 missing
Philippine_Pesonumeric1579 unique values
4198 missing
Polish_Zlotynumeric3682 unique values
1765 missing
Qatar_Riyalnumeric1 unique values
47 missing
Rial_Omaninumeric1 unique values
56 missing
Russian_Rublenumeric3447 unique values
2435 missing
Saudi_Arabian_Riyalnumeric2 unique values
46 missing
Singapore_Dollarnumeric3252 unique values
259 missing
South_African_Randnumeric3294 unique values
535 missing
Sri_Lanka_Rupeenumeric4612 unique values
509 missing
Swedish_Kronanumeric3655 unique values
349 missing
Swiss_Francnumeric3852 unique values
239 missing
Thai_Bahtnumeric4213 unique values
565 missing
Trinidad_And_Tobago_Dollarnumeric2705 unique values
657 missing
Tunisian_Dinarnumeric1596 unique values
4258 missing
U.A.E._Dirhamnumeric3 unique values
71 missing
U.K._Pound_Sterlingnumeric3555 unique values
122 missing
U.S._Dollarnumeric1 unique values
0 missing

19 properties

5978
Number of instances (rows) of the dataset.
52
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
61189
Number of missing values in the dataset.
5572
Number of instances with at least one value missing.
51
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
98.08
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.
93.21
Percentage of instances having missing values.
Average class difference between consecutive instances.
19.68
Percentage of missing values.

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