Data
Daily-Exchange-Rates-per-Euro-1999-2021

Daily-Exchange-Rates-per-Euro-1999-2021

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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21+ years of the euro 04 Jan 1999 - 12 Feb 2021 It wasn't until 1999 that the euro really began its journey, when 11 countries (Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, the Netherlands, Portugal and Spain) fixed their exchange rates and created a new currency with monetary policy passed to the European Central Bank. Today euro is 20+ years old. Content Reference rates are euro foreign exchange rates observed on major foreign exchange trading venues at a certain point in time = they are the price of one currency in terms of another currency. The rates are usually updated around 16:00 CET on every working day, except on TARGET closing days. Dataset contains date and Euro rate corresponding to Australian dollar, Bulgarian lev, Brazilian real, Canadian dollar, Swiss franc, Chinese yuan renminbi, Cypriot pound, Czech koruna, Danish krone, Estonian kroon, UK pound sterling, Greek drachma, Hong Kong dollar, Croatian kuna, Hungarian forint, Indonesian rupiah, Israeli shekel, Indian rupee, Iceland krona, Japanese yen, Korean won, Lithuanian litas, Latvian lats, Maltese lira, Mexican peso, Malaysian ringgit, Norwegian krone, New Zealand dollar, Philippine peso, Polish zloty, Romanian leu, Russian rouble, Swedish krona, Singapore dollar, Slovenian tolar, Slovak koruna, Thai baht, Turkish lira, US dollar, South African rand. Some currency in the list doesn't exist anymore; it was replaced by the Euro : Cypriot pound (2007), Estonian kroon (2011), Greek drachma (2002), Lithuanian litas (2015), Latvian lats (2014), Maltese lira (2008), Slovenian tolar (2007), Slovak koruna (2009). Bulgarian lev since 2002 is pegged to the Euro: 1 = 1.9558 leva. Acknowledgements All data provided by European Central Bank Statistical Data WareHouse, EXR - Exchange Rates. Dataset is versioned and stays on weekly update.

41 features

Period\Unit:string6007 unique values
0 missing
[Australian_dollar_]string3547 unique values
0 missing
[Bulgarian_lev_]string106 unique values
402 missing
[Brazilian_real_]string5152 unique values
268 missing
[Canadian_dollar_]string2990 unique values
0 missing
[Swiss_franc_]string3007 unique values
0 missing
[Chinese_yuan_renminbi_]string5036 unique values
268 missing
[Cypriot_pound_]string498 unique values
3661 missing
[Czech_koruna_]string3796 unique values
0 missing
[Danish_krone_]string485 unique values
0 missing
[Estonian_kroon_]string2 unique values
2877 missing
[UK_pound_sterling_]string3641 unique values
0 missing
[Greek_drachma_]string323 unique values
5487 missing
[Hong_Kong_dollar_]string5500 unique values
0 missing
[Croatian_kuna_]string2275 unique values
268 missing
[Hungarian_forint_]string4183 unique values
0 missing
[Indonesian_rupiah_]string5913 unique values
0 missing
[Israeli_shekel_]string4846 unique values
268 missing
[Indian_rupee_]string5434 unique values
268 missing
[Iceland_krona_]numeric1928 unique values
2407 missing
[Japanese_yen_]string3554 unique values
0 missing
[Korean_won_]string5609 unique values
0 missing
[Lithuanian_litas_]string771 unique values
1848 missing
[Latvian_lats_]string1078 unique values
2103 missing
[Maltese_lira_]string426 unique values
3661 missing
[Mexican_peso_]string5808 unique values
0 missing
[Malaysian_ringgit_]string4845 unique values
0 missing
[Norwegian_krone_]string3667 unique values
0 missing
[New_Zealand_dollar_]string3943 unique values
0 missing
[Philippine_peso_]string5249 unique values
0 missing
[Polish_zloty_]string4341 unique values
0 missing
[Romanian_leu_]numeric4526 unique values
62 missing
[Russian_rouble_]string5705 unique values
13 missing
[Swedish_krona_]string4629 unique values
0 missing
[Singapore_dollar_]string3595 unique values
0 missing
[Slovenian_tolar_]string1377 unique values
3922 missing
[Slovak_koruna_]string2014 unique values
3399 missing
[Thai_baht_]string5290 unique values
0 missing
[Turkish_lira_]numeric5078 unique values
62 missing
[US_dollar_]string3595 unique values
0 missing
[South_African_rand_]string5765 unique values
0 missing

19 properties

6007
Number of instances (rows) of the dataset.
41
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
31244
Number of missing values in the dataset.
5891
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
7.32
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.
98.07
Percentage of instances having missing values.
Average class difference between consecutive instances.
12.69
Percentage of missing values.

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