fewISOs

fewISOs provides a collection of financial economics related ISO code datasets conveniently packaged for consumption in R. It can be installed from github using: devtools::install_github("bautheac/fewISOs").

countries

The countries dataset corresponds to the ISO 3166-1 sub-standard, part of the ISO 3166 standard published by the International Organization for Standardization (ISO) that defines codes for the names of countries, dependent territories, special areas of geographical interest, and their principal subdivisions (e.g., provinces or states). The sub-standard comes in three sets of country codes, all provided in the dataset:
- ISO 3166-1 alpha-2: two-letter country codes (most widely used).
- ISO 3166-1 alpha-3: three-letter country codes. Allows for a better visual association between the codes and the country names than the alpha-2 codes.
- ISO 3166-1 numeric: three-digit country codes. These are identical to those developed and maintained by the United Nations Statistics Division, with the advantage of script (writing system) independence, and hence useful for people or systems using non-Latin scripts.

Dataset excerpt:

#>             name alpha 2 alpha 3 numeric          capital
#> 1    Afghanistan      AF     AFG     004            Kabul
#> 2  Åland Islands      AX     ALA     248        Mariehamn
#> 3        Albania      AL     ALB     008           Tirana
#> 4        Algeria      DZ     DZA     012          Algiers
#> 5 American Samoa      AS     ASM     016        Pago Pago
#> 6        Andorra      AD     AND     020 Andorra la Vella

currencies

The currencies dataset corresponds to the ISO 4217 standard that defines codes for worldwide currencies and comes as a three-letter alphabetic as well as an alternative three-digit numeric code, both provided in the dataset. The ISO 4217 three-letter alphabetic code standard is based on the ISO 3166-1 code standard for countries with the first two letters corresponding the ISO 3166-1 alpha-2 code for the country issuing the corresponding currency and the third corresponding to the first letter of the currency name when possible. The three-digit numeric code is the same as the ISO 3166-1 numeric code for the issuing country when possible.

Dataset excerpt:

#>                            name alphabetic numeric minor unit country
#> 1                    UAE Dirham        AED     784          2      AE
#> 2                       Afghani        AFN     971          2      AF
#> 3                           Lek        ALL     008          2      AL
#> 4                 Armenian Dram        AMD     051          2      AM
#> 5 Netherlands Antillean Guilder        ANG     532          2      CW
#> 6                        Kwanza        AOA     973          2      AO

exchanges

The exchanges dataset corresponds to the ISO 10383 standard that defines four alphanumeric character Market Identifier Codes (MIC). These are unique identification codes used to identify securities trading exchanges, trading platforms and regulated or non-regulated markets as sources of prices and related information in order to facilitate automated processing

Dataset excerpt:

#>                                               name  MIC country
#> 1664                                    assent ats AATS      US
#> 1665                         athens exchange - apa AAPA      GR
#> 1666 credit agricole cib - systematic internaliser AACA      FR
#> 1667                                           a2x A2XX      ZA
#> 1668                                          360t 360T      DE
#> 1669             ssy futures ltd -  freight screen 3579      GB
#>              city           website
#> 1664  Jersey City   www.sungard.com
#> 1665       Athens www.athexgroup.gr
#> 1666        Paris    www.ca-cib.com
#> 1667 Johannesburg     www.a2x.co.za
#> 1668    Frankfurt      www.360t.com
#> 1669       London www.ssyonline.com

finRes

Although fewISOs is self-contained with consumption value on its own, it belongs to finRes where it plays an important role in providing support to storethat for facilitating data integrity.