Practice time again. And practice makes perfect. We covered a lot more gt functions.

gt functions from module 03

From module 04

Formatters (fmt_*() + data_color()), information functions (info_*()), and functions that work with columns (cols_*()) were looked at. Below are a few examples that could be tinkered with.

Suggestions for practice

The fmt_number() function allows us to format numbers. Pretty important as tables often contain a lot of those. There are many, many options for formatting numbers. One suggestion for getting to know fmt_number() a bit better is to modify the options given to it. Working with just the num column from exibble and exposing all of the function’s default options, go ahead and change things and run the chunk.

exibble %>%
  dplyr::select(num) %>%
  gt() %>%
  fmt_number(
    columns = num,
    rows = NULL,
    decimals = 2,
    n_sigfig = NULL,
    drop_trailing_zeros = FALSE,
    drop_trailing_dec_mark = TRUE,
    use_seps = TRUE,
    scale_by = 1,
    suffixing = FALSE,
    pattern = "{x}",
    sep_mark = ",",
    dec_mark = ".",
    locale = NULL
  )
## Warning: The use of `NULL` for rows has been deprecated in gt 0.3.0:
## * please use `TRUE` instead
num
0.11
2.22
33.33
444.40
5,550.00
NA
777,000.00
8,880,000.00

The data_color() function allows us to add color to cells based functions from the scales package (scales::col_quantile(), scales::col_bin(), scales::col_numeric(), and scales::col_factor()). Try using these different scales::col_*() functions, perhaps changing the palette and using a non-NULL domain (hint: should be a vector of length 2). EXTRA CREDIT: Use a fmt_*() function that nicely formats these population values.

countrypops %>%
  dplyr::filter(country_name == "United States") %>%
  dplyr::select(-contains("code")) %>%
  tail(10) %>%
  gt(rowname_col = "year", groupname_col = "country_name") %>%
  tab_options(column_labels.hidden = TRUE) %>%
  data_color(
    columns = population,
    colors = scales::col_numeric(
      palette = c(
        "red", "orange", "green", "blue"),
      domain = NULL
    )
  )
United States
2008 304093966
2009 306771529
2010 309338421
2011 311644280
2012 313993272
2013 316234505
2014 318622525
2015 321039839
2016 323405935
2017 325719178

Setting column widths can be admittedly confusing. It uses browser logic to great extent and there are really a lot of possible outcomes. Try combinations of setting the overall width (tab_options(table.width = ...)) and using the pct() and px() helpers to define percentage and pixel widths. These interactions are occasionally surprising but there is some helpful documentation on all the interactions at https://github.com/rstudio/gt/blob/master/tests/gt-examples/01-html-script/html-17-table_width_specifications.R.

exibble %>%
  dplyr::select(
    num, char, date,
    datetime, row
  ) %>%
  gt() %>%
  tab_options(table.width = pct(100)) %>%
  cols_width(
    num ~ pct(20),
    ends_with("r") ~ px(100),
    starts_with("date") ~ px(200),
    everything() ~ pct(30)
  )
num char date datetime row
1.111e-01 apricot 2015-01-15 2018-01-01 02:22 row_1
2.222e+00 banana 2015-02-15 2018-02-02 14:33 row_2
3.333e+01 coconut 2015-03-15 2018-03-03 03:44 row_3
4.444e+02 durian 2015-04-15 2018-04-04 15:55 row_4
5.550e+03 NA 2015-05-15 2018-05-05 04:00 row_5
NA fig 2015-06-15 2018-06-06 16:11 row_6
7.770e+05 grapefruit NA 2018-07-07 05:22 row_7
8.880e+06 honeydew 2015-08-15 NA row_8

Lastly, some information might do us good. The information functions (info_*()) can provide us with a helpful reference when we need it most.

Many fmt_*() functions have a locale option for locale-specific formatting. Here is information on which locales are supported:

info_locales()
Locales Supported in gt
Locale codes are used in several fmt_*() functions
Locale Separators Formatted
Value
Group Decimal
af_NA
Afrikaans (Namibia)
, 11 027,00
af_ZA
Afrikaans (South Africa)
, 11 027,00
af
Afrikaans
, 11 027,00
agq_CM
Aghem (Cameroon)
, 11 027,00
agq
Aghem
, 11 027,00
ak_GH
Akan (Ghana)
, . 11,027.00
ak
Akan
, . 11,027.00
am_ET
Amharic (Ethiopia)
, . 11,027.00
am
Amharic
, . 11,027.00
ar_001
Arabic (World)
٬ ٫ 11٬027٫00
ar_AE
Arabic (United Arab Emirates)
٬ ٫ 11٬027٫00
ar_BH
Arabic (Bahrain)
٬ ٫ 11٬027٫00
ar_DJ
Arabic (Djibouti)
٬ ٫ 11٬027٫00
ar_DZ
Arabic (Algeria)
. , 11.027,00
ar_EG
Arabic (Egypt)
٬ ٫ 11٬027٫00
ar_EH
Arabic (Western Sahara)
, . 11,027.00
ar_ER
Arabic (Eritrea)
٬ ٫ 11٬027٫00
ar_IL
Arabic (Israel)
٬ ٫ 11٬027٫00
ar_IQ
Arabic (Iraq)
٬ ٫ 11٬027٫00
ar_JO
Arabic (Jordan)
٬ ٫ 11٬027٫00
ar_KM
Arabic (Comoros)
٬ ٫ 11٬027٫00
ar_KW
Arabic (Kuwait)
٬ ٫ 11٬027٫00
ar_LB
Arabic (Lebanon)
٬ ٫ 11٬027٫00
ar_LY
Arabic (Libya)
. , 11.027,00
ar_MA
Arabic (Morocco)
. , 11.027,00
ar_MR
Arabic (Mauritania)
٬ ٫ 11٬027٫00
ar_OM
Arabic (Oman)
٬ ٫ 11٬027٫00
ar_PS
Arabic (Palestinian Territories)
٬ ٫ 11٬027٫00
ar_QA
Arabic (Qatar)
٬ ٫ 11٬027٫00
ar_SA
Arabic (Saudi Arabia)
٬ ٫ 11٬027٫00
ar_SD
Arabic (Sudan)
٬ ٫ 11٬027٫00
ar_SO
Arabic (Somalia)
٬ ٫ 11٬027٫00
ar_SS
Arabic (South Sudan)
٬ ٫ 11٬027٫00
ar_SY
Arabic (Syria)
٬ ٫ 11٬027٫00
ar_TD
Arabic (Chad)
٬ ٫ 11٬027٫00
ar_TN
Arabic (Tunisia)
. , 11.027,00
ar_YE
Arabic (Yemen)
٬ ٫ 11٬027٫00
ar
Arabic
٬ ٫ 11٬027٫00
as_IN
Assamese (India)
, . 11,027.00
as
Assamese
, . 11,027.00
asa_TZ
Asu (Tanzania)
, . 11,027.00
asa
Asu
, . 11,027.00
ast_ES
Asturian (Spain)
. , 11.027,00
ast
Asturian
. , 11.027,00
az_Cyrl_AZ
Azerbaijani (Cyrillic, Azerbaijan)
. , 11.027,00
az_Cyrl
Azerbaijani (Cyrillic)
. , 11.027,00
az_Latn_AZ
Azerbaijani (Latin, Azerbaijan)
. , 11.027,00
az_Latn
Azerbaijani (Latin)
. , 11.027,00
az
Azerbaijani
. , 11.027,00
bas_CM
Basaa (Cameroon)
, 11 027,00
bas
Basaa
, 11 027,00
be_BY
Belarusian (Belarus)
, 11 027,00
be
Belarusian
, 11 027,00
bem_ZM
Bemba (Zambia)
, . 11,027.00
bem
Bemba
, . 11,027.00
bez_TZ
Bena (Tanzania)
, . 11,027.00
bez
Bena
, . 11,027.00
bg_BG
Bulgarian (Bulgaria)
, 11 027,00
bg
Bulgarian
, 11 027,00
bm_ML
Bambara (Mali)
, . 11,027.00
bm
Bambara
, . 11,027.00
bn_BD
Bangla (Bangladesh)
, . 11,027.00
bn_IN
Bangla (India)
, . 11,027.00
bn
Bangla
, . 11,027.00
bo_CN
Tibetan (China)
, . 11,027.00
bo_IN
Tibetan (India)
, . 11,027.00
bo
Tibetan
, . 11,027.00
br_FR
Breton (France)
, 11 027,00
br
Breton
, 11 027,00
brx_IN
Bodo (India)
, . 11,027.00
brx
Bodo
, . 11,027.00
bs_Cyrl_BA
Bosnian (Cyrillic, Bosnia & Herzegovina)
. , 11.027,00
bs_Cyrl
Bosnian (Cyrillic)
. , 11.027,00
bs_Latn_BA
Bosnian (Latin, Bosnia & Herzegovina)
. , 11.027,00
bs_Latn
Bosnian (Latin)
. , 11.027,00
bs
Bosnian
. , 11.027,00
ca_AD
Catalan (Andorra)
. , 11.027,00
ca_ES
Catalan (Spain)
. , 11.027,00
ca_FR
Catalan (France)
. , 11.027,00
ca_IT
Catalan (Italy)
. , 11.027,00
ca
Catalan
. , 11.027,00
ce_RU
Chechen (Russia)
, . 11,027.00
ce
Chechen
, . 11,027.00
cgg_UG
Chiga (Uganda)
, . 11,027.00
cgg
Chiga
, . 11,027.00
chr_US
Cherokee (United States)
, . 11,027.00
chr
Cherokee
, . 11,027.00
ckb_IQ
Central Kurdish (Iraq)
٬ ٫ 11٬027٫00
ckb_IR
Central Kurdish (Iran)
٬ ٫ 11٬027٫00
ckb
Central Kurdish
٬ ٫ 11٬027٫00
cs_CZ
Czech (Czechia)
, 11 027,00
cs
Czech
, 11 027,00
cy_GB
Welsh (United Kingdom)
, . 11,027.00
cy
Welsh
, . 11,027.00
da_DK
Danish (Denmark)
. , 11.027,00
da_GL
Danish (Greenland)
. , 11.027,00
da
Danish
. , 11.027,00
dav_KE
Taita (Kenya)
, . 11,027.00
dav
Taita
, . 11,027.00
de_AT
German (Austria)
, 11 027,00
de_BE
German (Belgium)
. , 11.027,00
de_CH
German (Switzerland)
. 11’027.00
de_DE
German (Germany)
. , 11.027,00
de_IT
German (Italy)
. , 11.027,00
de_LI
German (Liechtenstein)
. 11’027.00
de_LU
German (Luxembourg)
. , 11.027,00
de
German
. , 11.027,00
dje_NE
Zarma (Niger)
. 11 027.00
dje
Zarma
. 11 027.00
dsb_DE
Lower Sorbian (Germany)
. , 11.027,00
dsb
Lower Sorbian
. , 11.027,00
dua_CM
Duala (Cameroon)
, 11 027,00
dua
Duala
, 11 027,00
dyo_SN
Jola-Fonyi (Senegal)
, 11 027,00
dyo
Jola-Fonyi
, 11 027,00
dz_BT
Dzongkha (Bhutan)
, . 11,027.00
dz
Dzongkha
, . 11,027.00
ebu_KE
Embu (Kenya)
, . 11,027.00
ebu
Embu
, . 11,027.00
ee_GH
Ewe (Ghana)
, . 11,027.00
ee_TG
Ewe (Togo)
, . 11,027.00
ee
Ewe
, . 11,027.00
el_CY
Greek (Cyprus)
. , 11.027,00
el_GR
Greek (Greece)
. , 11.027,00
el
Greek
. , 11.027,00
en_001
English (World)
, . 11,027.00
en_150
English (Europe)
. , 11.027,00
en_AG
English (Antigua & Barbuda)
, . 11,027.00
en_AI
English (Anguilla)
, . 11,027.00
en_AS
English (American Samoa)
, . 11,027.00
en_AT
English (Austria)
. , 11.027,00
en_AU
English (Australia)
, . 11,027.00
en_BB
English (Barbados)
, . 11,027.00
en_BE
English (Belgium)
. , 11.027,00
en_BI
English (Burundi)
, . 11,027.00
en_BM
English (Bermuda)
, . 11,027.00
en_BS
English (Bahamas)
, . 11,027.00
en_BW
English (Botswana)
, . 11,027.00
en_BZ
English (Belize)
, . 11,027.00
en_CA
English (Canada)
, . 11,027.00
en_CC
English (Cocos [Keeling] Islands)
, . 11,027.00
en_CH
English (Switzerland)
. , 11.027,00
en_CK
English (Cook Islands)
, . 11,027.00
en_CM
English (Cameroon)
, . 11,027.00
en_CX
English (Christmas Island)
, . 11,027.00
en_CY
English (Cyprus)
, . 11,027.00
en_DE
English (Germany)
. , 11.027,00
en_DG
English (Diego Garcia)
, . 11,027.00
en_DK
English (Denmark)
. , 11.027,00
en_DM
English (Dominica)
, . 11,027.00
en_ER
English (Eritrea)
, . 11,027.00
en_FI
English (Finland)
, 11 027,00
en_FJ
English (Fiji)
, . 11,027.00
en_FK
English (Falkland Islands)
, . 11,027.00
en_FM
English (Micronesia)
, . 11,027.00
en_GB
English (United Kingdom)
, . 11,027.00
en_GD
English (Grenada)
, . 11,027.00
en_GG
English (Guernsey)
, . 11,027.00
en_GH
English (Ghana)
, . 11,027.00
en_GI
English (Gibraltar)
, . 11,027.00
en_GM
English (Gambia)
, . 11,027.00
en_GU
English (Guam)
, . 11,027.00
en_GY
English (Guyana)
, . 11,027.00
en_HK
English (Hong Kong SAR China)
, . 11,027.00
en_IE
English (Ireland)
, . 11,027.00
en_IL
English (Israel)
, . 11,027.00
en_IM
English (Isle of Man)
, . 11,027.00
en_IN
English (India)
, . 11,027.00
en_IO
English (British Indian Ocean Territory)
, . 11,027.00
en_JE
English (Jersey)
, . 11,027.00
en_JM
English (Jamaica)
, . 11,027.00
en_KE
English (Kenya)
, . 11,027.00
en_KI
English (Kiribati)
, . 11,027.00
en_KN
English (St. Kitts & Nevis)
, . 11,027.00
en_KY
English (Cayman Islands)
, . 11,027.00
en_LC
English (St. Lucia)
, . 11,027.00
en_LR
English (Liberia)
, . 11,027.00
en_LS
English (Lesotho)
, . 11,027.00
en_MG
English (Madagascar)
, . 11,027.00
en_MH
English (Marshall Islands)
, . 11,027.00
en_MO
English (Macau SAR China)
, . 11,027.00
en_MP
English (Northern Mariana Islands)
, . 11,027.00
en_MS
English (Montserrat)
, . 11,027.00
en_MT
English (Malta)
, . 11,027.00
en_MU
English (Mauritius)
, . 11,027.00
en_MW
English (Malawi)
, . 11,027.00
en_MY
English (Malaysia)
, . 11,027.00
en_NA
English (Namibia)
, . 11,027.00
en_NF
English (Norfolk Island)
, . 11,027.00
en_NG
English (Nigeria)
, . 11,027.00
en_NL
English (Netherlands)
. , 11.027,00
en_NR
English (Nauru)
, . 11,027.00
en_NU
English (Niue)
, . 11,027.00
en_NZ
English (New Zealand)
, . 11,027.00
en_PG
English (Papua New Guinea)
, . 11,027.00
en_PH
English (Philippines)
, . 11,027.00
en_PK
English (Pakistan)
, . 11,027.00
en_PN
English (Pitcairn Islands)
, . 11,027.00
en_PR
English (Puerto Rico)
, . 11,027.00
en_PW
English (Palau)
, . 11,027.00
en_RW
English (Rwanda)
, . 11,027.00
en_SB
English (Solomon Islands)
, . 11,027.00
en_SC
English (Seychelles)
, . 11,027.00
en_SD
English (Sudan)
, . 11,027.00
en_SE
English (Sweden)
, 11 027,00
en_SG
English (Singapore)
, . 11,027.00
en_SH
English (St. Helena)
, . 11,027.00
en_SI
English (Slovenia)
. , 11.027,00
en_SL
English (Sierra Leone)
, . 11,027.00
en_SS
English (South Sudan)
, . 11,027.00
en_SX
English (Sint Maarten)
, . 11,027.00
en_SZ
English (Swaziland)
, . 11,027.00
en_TC
English (Turks & Caicos Islands)
, . 11,027.00
en_TK
English (Tokelau)
, . 11,027.00
en_TO
English (Tonga)
, . 11,027.00
en_TT
English (Trinidad & Tobago)
, . 11,027.00
en_TV
English (Tuvalu)
, . 11,027.00
en_TZ
English (Tanzania)
, . 11,027.00
en_UG
English (Uganda)
, . 11,027.00
en_UM
English (U.S. Outlying Islands)
, . 11,027.00
en_US_POSIX
English (United States, Computer)
, . 11,027.00
en_US
English (United States)
, . 11,027.00
en_VC
English (St. Vincent & Grenadines)
, . 11,027.00
en_VG
English (British Virgin Islands)
, . 11,027.00
en_VI
English (U.S. Virgin Islands)
, . 11,027.00
en_VU
English (Vanuatu)
, . 11,027.00
en_WS
English (Samoa)
, . 11,027.00
en_ZA
English (South Africa)
, 11 027,00
en_ZM
English (Zambia)
, . 11,027.00
en_ZW
English (Zimbabwe)
, . 11,027.00
en
English
, . 11,027.00
eo
Esperanto
, 11 027,00
es_419
Spanish (Latin America)
, . 11,027.00
es_AR
Spanish (Argentina)
. , 11.027,00
es_BO
Spanish (Bolivia)
. , 11.027,00
es_BR
Spanish (Brazil)
, . 11,027.00
es_BZ
Spanish (Belize)
, . 11,027.00
es_CL
Spanish (Chile)
. , 11.027,00
es_CO
Spanish (Colombia)
. , 11.027,00
es_CR
Spanish (Costa Rica)
, 11 027,00
es_CU
Spanish (Cuba)
, . 11,027.00
es_DO
Spanish (Dominican Republic)
, . 11,027.00
es_EA
Spanish (Ceuta & Melilla)
. , 11.027,00
es_EC
Spanish (Ecuador)
. , 11.027,00
es_ES
Spanish (Spain)
. , 11.027,00
es_GQ
Spanish (Equatorial Guinea)
. , 11.027,00
es_GT
Spanish (Guatemala)
, . 11,027.00
es_HN
Spanish (Honduras)
, . 11,027.00
es_IC
Spanish (Canary Islands)
. , 11.027,00
es_MX
Spanish (Mexico)
, . 11,027.00
es_NI
Spanish (Nicaragua)
, . 11,027.00
es_PA
Spanish (Panama)
, . 11,027.00
es_PE
Spanish (Peru)
, . 11,027.00
es_PH
Spanish (Philippines)
. , 11.027,00
es_PR
Spanish (Puerto Rico)
, . 11,027.00
es_PY
Spanish (Paraguay)
. , 11.027,00
es_SV
Spanish (El Salvador)
, . 11,027.00
es_US
Spanish (United States)
, . 11,027.00
es_UY
Spanish (Uruguay)
. , 11.027,00
es_VE
Spanish (Venezuela)
. , 11.027,00
es
Spanish
. , 11.027,00
et_EE
Estonian (Estonia)
, 11 027,00
et
Estonian
, 11 027,00
eu_ES
Basque (Spain)
. , 11.027,00
eu
Basque
. , 11.027,00
ewo_CM
Ewondo (Cameroon)
, 11 027,00
ewo
Ewondo
, 11 027,00
fa_AF
Persian (Afghanistan)
٬ ٫ 11٬027٫00
fa_IR
Persian (Iran)
٬ ٫ 11٬027٫00
fa
Persian
٬ ٫ 11٬027٫00
ff_CM
Fulah (Cameroon)
, 11 027,00
ff_GN
Fulah (Guinea)
, 11 027,00
ff_MR
Fulah (Mauritania)
, 11 027,00
ff_SN
Fulah (Senegal)
, 11 027,00
ff
Fulah
, 11 027,00
fi_FI
Finnish (Finland)
, 11 027,00
fi
Finnish
, 11 027,00
fil_PH
Filipino (Philippines)
, . 11,027.00
fil
Filipino
, . 11,027.00
fo_DK
Faroese (Denmark)
. , 11.027,00
fo_FO
Faroese (Faroe Islands)
. , 11.027,00
fo
Faroese
. , 11.027,00
fr_BE
French (Belgium)
, 11 027,00
fr_BF
French (Burkina Faso)
, 11 027,00
fr_BI
French (Burundi)
, 11 027,00
fr_BJ
French (Benin)
, 11 027,00
fr_BL
French (St. Barthélemy)
, 11 027,00
fr_CA
French (Canada)
, 11 027,00
fr_CD
French (Congo - Kinshasa)
, 11 027,00
fr_CF
French (Central African Republic)
, 11 027,00
fr_CG
French (Congo - Brazzaville)
, 11 027,00
fr_CH
French (Switzerland)
, 11 027,00
fr_CI
French (Côte d’Ivoire)
, 11 027,00
fr_CM
French (Cameroon)
, 11 027,00
fr_DJ
French (Djibouti)
, 11 027,00
fr_DZ
French (Algeria)
, 11 027,00
fr_FR
French (France)
, 11 027,00
fr_GA
French (Gabon)
, 11 027,00
fr_GF
French (French Guiana)
, 11 027,00
fr_GN
French (Guinea)
, 11 027,00
fr_GP
French (Guadeloupe)
, 11 027,00
fr_GQ
French (Equatorial Guinea)
, 11 027,00
fr_HT
French (Haiti)
, 11 027,00
fr_KM
French (Comoros)
, 11 027,00
fr_LU
French (Luxembourg)
. , 11.027,00
fr_MA
French (Morocco)
. , 11.027,00
fr_MC
French (Monaco)
, 11 027,00
fr_MF
French (St. Martin)
, 11 027,00
fr_MG
French (Madagascar)
, 11 027,00
fr_ML
French (Mali)
, 11 027,00
fr_MQ
French (Martinique)
, 11 027,00
fr_MR
French (Mauritania)
, 11 027,00
fr_MU
French (Mauritius)
, 11 027,00
fr_NC
French (New Caledonia)
, 11 027,00
fr_NE
French (Niger)
, 11 027,00
fr_PF
French (French Polynesia)
, 11 027,00
fr_PM
French (St. Pierre & Miquelon)
, 11 027,00
fr_RE
French (Réunion)
, 11 027,00
fr_RW
French (Rwanda)
, 11 027,00
fr_SC
French (Seychelles)
, 11 027,00
fr_SN
French (Senegal)
, 11 027,00
fr_SY
French (Syria)
, 11 027,00
fr_TD
French (Chad)
, 11 027,00
fr_TG
French (Togo)
, 11 027,00
fr_TN
French (Tunisia)
, 11 027,00
fr_VU
French (Vanuatu)
, 11 027,00
fr_WF
French (Wallis & Futuna)
, 11 027,00
fr_YT
French (Mayotte)
, 11 027,00
fr
French
, 11 027,00
fur_IT
Friulian (Italy)
. , 11.027,00
fur
Friulian
. , 11.027,00
fy_NL
Western Frisian (Netherlands)
. , 11.027,00
fy
Western Frisian
. , 11.027,00
ga_IE
Irish (Ireland)
, . 11,027.00
ga
Irish
, . 11,027.00
gd_GB
Scottish Gaelic (United Kingdom)
, . 11,027.00
gd
Scottish Gaelic
, . 11,027.00
gl_ES
Galician (Spain)
. , 11.027,00
gl
Galician
. , 11.027,00
gsw_CH
Swiss German (Switzerland)
. 11’027.00
gsw_FR
Swiss German (France)
. 11’027.00
gsw_LI
Swiss German (Liechtenstein)
. 11’027.00
gsw
Swiss German
. 11’027.00
gu_IN
Gujarati (India)
, . 11,027.00
gu
Gujarati
, . 11,027.00
guz_KE
Gusii (Kenya)
, . 11,027.00
guz
Gusii
, . 11,027.00
gv_IM
Manx (Isle of Man)
, . 11,027.00
gv
Manx
, . 11,027.00
ha_GH
Hausa (Ghana)
, . 11,027.00
ha_NE
Hausa (Niger)
, . 11,027.00
ha_NG
Hausa (Nigeria)
, . 11,027.00
ha
Hausa
, . 11,027.00
haw_US
Hawaiian (United States)
, . 11,027.00
haw
Hawaiian
, . 11,027.00
he_IL
Hebrew (Israel)
, . 11,027.00
he
Hebrew
, . 11,027.00
hi_IN
Hindi (India)
, . 11,027.00
hi
Hindi
, . 11,027.00
hr_BA
Croatian (Bosnia & Herzegovina)
. , 11.027,00
hr_HR
Croatian (Croatia)
. , 11.027,00
hr
Croatian
. , 11.027,00
hsb_DE
Upper Sorbian (Germany)
. , 11.027,00
hsb
Upper Sorbian
. , 11.027,00
hu_HU
Hungarian (Hungary)
, 11 027,00
hu
Hungarian
, 11 027,00
hy_AM
Armenian (Armenia)
, 11 027,00
hy
Armenian
, 11 027,00
id_ID
Indonesian (Indonesia)
. , 11.027,00
id
Indonesian
. , 11.027,00
ig_NG
Igbo (Nigeria)
, . 11,027.00
ig
Igbo
, . 11,027.00
ii_CN
Sichuan Yi (China)
, . 11,027.00
ii
Sichuan Yi
, . 11,027.00
is_IS
Icelandic (Iceland)
. , 11.027,00
is
Icelandic
. , 11.027,00
it_CH
Italian (Switzerland)
. 11’027.00
it_IT
Italian (Italy)
. , 11.027,00
it_SM
Italian (San Marino)
. , 11.027,00
it_VA
Italian (Vatican City)
. , 11.027,00
it
Italian
. , 11.027,00
ja_JP
Japanese (Japan)
, . 11,027.00
ja
Japanese
, . 11,027.00
jgo_CM
Ngomba (Cameroon)
. , 11.027,00
jgo
Ngomba
. , 11.027,00
jmc_TZ
Machame (Tanzania)
, . 11,027.00
jmc
Machame
, . 11,027.00
ka_GE
Georgian (Georgia)
, 11 027,00
ka
Georgian
, 11 027,00
kab_DZ
Kabyle (Algeria)
, 11 027,00
kab
Kabyle
, 11 027,00
kam_KE
Kamba (Kenya)
, . 11,027.00
kam
Kamba
, . 11,027.00
kde_TZ
Makonde (Tanzania)
, . 11,027.00
kde
Makonde
, . 11,027.00
kea_CV
Kabuverdianu (Cape Verde)
, 11 027,00
kea
Kabuverdianu
, 11 027,00
khq_ML
Koyra Chiini (Mali)
. 11 027.00
khq
Koyra Chiini
. 11 027.00
ki_KE
Kikuyu (Kenya)
, . 11,027.00
ki
Kikuyu
, . 11,027.00
kk_KZ
Kazakh (Kazakhstan)
, 11 027,00
kk
Kazakh
, 11 027,00
kkj_CM
Kako (Cameroon)
. , 11.027,00
kkj
Kako
. , 11.027,00
kl_GL
Kalaallisut (Greenland)
. , 11.027,00
kl
Kalaallisut
. , 11.027,00
kln_KE
Kalenjin (Kenya)
, . 11,027.00
kln
Kalenjin
, . 11,027.00
km_KH
Khmer (Cambodia)
. , 11.027,00
km
Khmer
. , 11.027,00
kn_IN
Kannada (India)
, . 11,027.00
kn
Kannada
, . 11,027.00
ko_KP
Korean (North Korea)
, . 11,027.00
ko_KR
Korean (South Korea)
, . 11,027.00
ko
Korean
, . 11,027.00
kok_IN
Konkani (India)
, . 11,027.00
kok
Konkani
, . 11,027.00
ks_IN
Kashmiri (India)
٬ ٫ 11٬027٫00
ks
Kashmiri
٬ ٫ 11٬027٫00
ksb_TZ
Shambala (Tanzania)
, . 11,027.00
ksb
Shambala
, . 11,027.00
ksf_CM
Bafia (Cameroon)
, 11 027,00
ksf
Bafia
, 11 027,00
ksh_DE
Colognian (Germany)
, 11 027,00
ksh
Colognian
, 11 027,00
kw_GB
Cornish (United Kingdom)
, . 11,027.00
kw
Cornish
, . 11,027.00
ky_KG
Kyrgyz (Kyrgyzstan)
, 11 027,00
ky
Kyrgyz
, 11 027,00
lag_TZ
Langi (Tanzania)
, . 11,027.00
lag
Langi
, . 11,027.00
lb_LU
Luxembourgish (Luxembourg)
. , 11.027,00
lb
Luxembourgish
. , 11.027,00
lg_UG
Ganda (Uganda)
, . 11,027.00
lg
Ganda
, . 11,027.00
lkt_US
Lakota (United States)
, . 11,027.00
lkt
Lakota
, . 11,027.00
ln_AO
Lingala (Angola)
. , 11.027,00
ln_CD
Lingala (Congo - Kinshasa)
. , 11.027,00
ln_CF
Lingala (Central African Republic)
. , 11.027,00
ln_CG
Lingala (Congo - Brazzaville)
. , 11.027,00
ln
Lingala
. , 11.027,00
lo_LA
Lao (Laos)
. , 11.027,00
lo
Lao
. , 11.027,00
lt_LT
Lithuanian (Lithuania)
, 11 027,00
lt
Lithuanian
, 11 027,00
lu_CD
Luba-Katanga (Congo - Kinshasa)
. , 11.027,00
lu
Luba-Katanga
. , 11.027,00
luo_KE
Luo (Kenya)
, . 11,027.00
luo
Luo
, . 11,027.00
luy_KE
Luyia (Kenya)
, . 11,027.00
luy
Luyia
, . 11,027.00
lv_LV
Latvian (Latvia)
, 11 027,00
lv
Latvian
, 11 027,00
mas_KE
Masai (Kenya)
, . 11,027.00
mas_TZ
Masai (Tanzania)
, . 11,027.00
mas
Masai
, . 11,027.00
mer_KE
Meru (Kenya)
, . 11,027.00
mer
Meru
, . 11,027.00
mfe_MU
Morisyen (Mauritius)
. 11 027.00
mfe
Morisyen
. 11 027.00
mg_MG
Malagasy (Madagascar)
, . 11,027.00
mg
Malagasy
, . 11,027.00
mgh_MZ
Makhuwa-Meetto (Mozambique)
. , 11.027,00
mgh
Makhuwa-Meetto
. , 11.027,00
mgo_CM
Metaʼ (Cameroon)
, . 11,027.00
mgo
Metaʼ
, . 11,027.00
mk_MK
Macedonian (Macedonia)
. , 11.027,00
mk
Macedonian
. , 11.027,00
ml_IN
Malayalam (India)
, . 11,027.00
ml
Malayalam
, . 11,027.00
mn_MN
Mongolian (Mongolia)
, . 11,027.00
mn
Mongolian
, . 11,027.00
mr_IN
Marathi (India)
, . 11,027.00
mr
Marathi
, . 11,027.00
ms_BN
Malay (Brunei)
. , 11.027,00
ms_MY
Malay (Malaysia)
, . 11,027.00
ms_SG
Malay (Singapore)
, . 11,027.00
ms
Malay
, . 11,027.00
mt_MT
Maltese (Malta)
, . 11,027.00
mt
Maltese
, . 11,027.00
mua_CM
Mundang (Cameroon)
. , 11.027,00
mua
Mundang
. , 11.027,00
my_MM
Burmese (Myanmar [Burma])
, . 11,027.00
my
Burmese
, . 11,027.00
naq_NA
Nama (Namibia)
, . 11,027.00
naq
Nama
, . 11,027.00
nb_NO
Norwegian Bokmål (Norway)
, 11 027,00
nb_SJ
Norwegian Bokmål (Svalbard & Jan Mayen)
, 11 027,00
nb
Norwegian Bokmål
, 11 027,00
nd_ZW
North Ndebele (Zimbabwe)
, . 11,027.00
nd
North Ndebele
, . 11,027.00
nds_DE
Low German (Germany)
, . 11,027.00
nds_NL
Low German (Netherlands)
, . 11,027.00
nds
Low German
, . 11,027.00
ne_IN
Nepali (India)
, . 11,027.00
ne_NP
Nepali (Nepal)
, . 11,027.00
ne
Nepali
, . 11,027.00
nl_AW
Dutch (Aruba)
. , 11.027,00
nl_BE
Dutch (Belgium)
. , 11.027,00
nl_BQ
Dutch (Caribbean Netherlands)
. , 11.027,00
nl_CW
Dutch (Curaçao)
. , 11.027,00
nl_NL
Dutch (Netherlands)
. , 11.027,00
nl_SR
Dutch (Suriname)
. , 11.027,00
nl_SX
Dutch (Sint Maarten)
. , 11.027,00
nl
Dutch
. , 11.027,00
nmg_CM
Kwasio (Cameroon)
, 11 027,00
nmg
Kwasio
, 11 027,00
nn_NO
Norwegian Nynorsk (Norway)
, 11 027,00
nn
Norwegian Nynorsk
, 11 027,00
nnh_CM
Ngiemboon (Cameroon)
. , 11.027,00
nnh
Ngiemboon
. , 11.027,00
nus_SS
Nuer (South Sudan)
, . 11,027.00
nus
Nuer
, . 11,027.00
nyn_UG
Nyankole (Uganda)
, . 11,027.00
nyn
Nyankole
, . 11,027.00
om_ET
Oromo (Ethiopia)
, . 11,027.00
om_KE
Oromo (Kenya)
, . 11,027.00
om
Oromo
, . 11,027.00
or_IN
Odia (India)
, . 11,027.00
or
Odia
, . 11,027.00
os_GE
Ossetic (Georgia)
, 11 027,00
os_RU
Ossetic (Russia)
, 11 027,00
os
Ossetic
, 11 027,00
pa_Arab_PK
Punjabi (Arabic, Pakistan)
٬ ٫ 11٬027٫00
pa_Arab
Punjabi (Arabic)
٬ ٫ 11٬027٫00
pa_Guru_IN
Punjabi (Gurmukhi, India)
, . 11,027.00
pa_Guru
Punjabi (Gurmukhi)
, . 11,027.00
pa
Punjabi
, . 11,027.00
pl_PL
Polish (Poland)
, 11 027,00
pl
Polish
, 11 027,00
ps_AF
Pashto (Afghanistan)
٬ ٫ 11٬027٫00
ps
Pashto
٬ ٫ 11٬027٫00
pt_AO
Portuguese (Angola)
, 11 027,00
pt_BR
Portuguese (Brazil)
. , 11.027,00
pt_CH
Portuguese (Switzerland)
, 11 027,00
pt_CV
Portuguese (Cape Verde)
, 11 027,00
pt_GQ
Portuguese (Equatorial Guinea)
, 11 027,00
pt_GW
Portuguese (Guinea-Bissau)
, 11 027,00
pt_LU
Portuguese (Luxembourg)
, 11 027,00
pt_MO
Portuguese (Macau SAR China)
, 11 027,00
pt_MZ
Portuguese (Mozambique)
, 11 027,00
pt_PT
Portuguese (Portugal)
, 11 027,00
pt_ST
Portuguese (São Tomé & Príncipe)
, 11 027,00
pt_TL
Portuguese (Timor-Leste)
, 11 027,00
pt
Portuguese
. , 11.027,00
qu_BO
Quechua (Bolivia)
. , 11.027,00
qu_EC
Quechua (Ecuador)
, . 11,027.00
qu_PE
Quechua (Peru)
, . 11,027.00
qu
Quechua
, . 11,027.00
rm_CH
Romansh (Switzerland)
. 11’027.00
rm
Romansh
. 11’027.00
rn_BI
Rundi (Burundi)
. , 11.027,00
rn
Rundi
. , 11.027,00
ro_MD
Romanian (Moldova)
. , 11.027,00
ro_RO
Romanian (Romania)
. , 11.027,00
ro
Romanian
. , 11.027,00
rof_TZ
Rombo (Tanzania)
, . 11,027.00
rof
Rombo
, . 11,027.00
ru_BY
Russian (Belarus)
, 11 027,00
ru_KG
Russian (Kyrgyzstan)
, 11 027,00
ru_KZ
Russian (Kazakhstan)
, 11 027,00
ru_MD
Russian (Moldova)
, 11 027,00
ru_RU
Russian (Russia)
, 11 027,00
ru_UA
Russian (Ukraine)
, 11 027,00
ru
Russian
, 11 027,00
rw_RW
Kinyarwanda (Rwanda)
. , 11.027,00
rw
Kinyarwanda
. , 11.027,00
rwk_TZ
Rwa (Tanzania)
, . 11,027.00
rwk
Rwa
, . 11,027.00
sah_RU
Sakha (Russia)
, 11 027,00
sah
Sakha
, 11 027,00
saq_KE
Samburu (Kenya)
, . 11,027.00
saq
Samburu
, . 11,027.00
sbp_TZ
Sangu (Tanzania)
, . 11,027.00
sbp
Sangu
, . 11,027.00
se_FI
Northern Sami (Finland)
, 11 027,00
se_NO
Northern Sami (Norway)
, 11 027,00
se_SE
Northern Sami (Sweden)
, 11 027,00
se
Northern Sami
, 11 027,00
seh_MZ
Sena (Mozambique)
. , 11.027,00
seh
Sena
. , 11.027,00
ses_ML
Koyraboro Senni (Mali)
. 11 027.00
ses
Koyraboro Senni
. 11 027.00
sg_CF
Sango (Central African Republic)
. , 11.027,00
sg
Sango
. , 11.027,00
shi_Latn_MA
Tachelhit (Latin, Morocco)
, 11 027,00
shi_Latn
Tachelhit (Latin)
, 11 027,00
shi_Tfng_MA
Tachelhit (Tifinagh, Morocco)
, 11 027,00
shi_Tfng
Tachelhit (Tifinagh)
, 11 027,00
shi
Tachelhit
, 11 027,00
si_LK
Sinhala (Sri Lanka)
, . 11,027.00
si
Sinhala
, . 11,027.00
sk_SK
Slovak (Slovakia)
, 11 027,00
sk
Slovak
, 11 027,00
sl_SI
Slovenian (Slovenia)
. , 11.027,00
sl
Slovenian
. , 11.027,00
smn_FI
Inari Sami (Finland)
, 11 027,00
smn
Inari Sami
, 11 027,00
sn_ZW
Shona (Zimbabwe)
, . 11,027.00
sn
Shona
, . 11,027.00
so_DJ
Somali (Djibouti)
, . 11,027.00
so_ET
Somali (Ethiopia)
, . 11,027.00
so_KE
Somali (Kenya)
, . 11,027.00
so_SO
Somali (Somalia)
, . 11,027.00
so
Somali
, . 11,027.00
sq_AL
Albanian (Albania)
, 11 027,00
sq_MK
Albanian (Macedonia)
, 11 027,00
sq_XK
Albanian (Kosovo)
, 11 027,00
sq
Albanian
, 11 027,00
sr_Cyrl_BA
Serbian (Cyrillic, Bosnia & Herzegovina)
. , 11.027,00
sr_Cyrl_ME
Serbian (Cyrillic, Montenegro)
. , 11.027,00
sr_Cyrl_RS
Serbian (Cyrillic, Serbia)
. , 11.027,00
sr_Cyrl_XK
Serbian (Cyrillic, Kosovo)
. , 11.027,00
sr_Cyrl
Serbian (Cyrillic)
. , 11.027,00
sr_Latn_BA
Serbian (Latin, Bosnia & Herzegovina)
. , 11.027,00
sr_Latn_ME
Serbian (Latin, Montenegro)
. , 11.027,00
sr_Latn_RS
Serbian (Latin, Serbia)
. , 11.027,00
sr_Latn_XK
Serbian (Latin, Kosovo)
. , 11.027,00
sr_Latn
Serbian (Latin)
. , 11.027,00
sr
Serbian
. , 11.027,00
sv_AX
Swedish (Åland Islands)
, 11 027,00
sv_FI
Swedish (Finland)
, 11 027,00
sv_SE
Swedish (Sweden)
, 11 027,00
sv
Swedish
, 11 027,00
sw_CD
Swahili (Congo - Kinshasa)
. , 11.027,00
sw_KE
Swahili (Kenya)
, . 11,027.00
sw_TZ
Swahili (Tanzania)
, . 11,027.00
sw_UG
Swahili (Uganda)
, . 11,027.00
sw
Swahili
, . 11,027.00
ta_IN
Tamil (India)
, . 11,027.00
ta_LK
Tamil (Sri Lanka)
, . 11,027.00
ta_MY
Tamil (Malaysia)
, . 11,027.00
ta_SG
Tamil (Singapore)
, . 11,027.00
ta
Tamil
, . 11,027.00
te_IN
Telugu (India)
, . 11,027.00
te
Telugu
, . 11,027.00
teo_KE
Teso (Kenya)
, . 11,027.00
teo_UG
Teso (Uganda)
, . 11,027.00
teo
Teso
, . 11,027.00
tg_TJ
Tajik (Tajikistan)
, 11 027,00
tg
Tajik
, 11 027,00
th_TH
Thai (Thailand)
, . 11,027.00
th
Thai
, . 11,027.00
ti_ER
Tigrinya (Eritrea)
, . 11,027.00
ti_ET
Tigrinya (Ethiopia)
, . 11,027.00
ti
Tigrinya
, . 11,027.00
to_TO
Tongan (Tonga)
, . 11,027.00
to
Tongan
, . 11,027.00
tr_CY
Turkish (Cyprus)
. , 11.027,00
tr_TR
Turkish (Turkey)
. , 11.027,00
tr
Turkish
. , 11.027,00
tt_RU
Tatar (Russia)
, 11 027,00
tt
Tatar
, 11 027,00
twq_NE
Tasawaq (Niger)
. 11 027.00
twq
Tasawaq
. 11 027.00
tzm_MA
Central Atlas Tamazight (Morocco)
, 11 027,00
tzm
Central Atlas Tamazight
, 11 027,00
ug_CN
Uyghur (China)
, . 11,027.00
ug
Uyghur
, . 11,027.00
uk_UA
Ukrainian (Ukraine)
, 11 027,00
uk
Ukrainian
, 11 027,00
ur_IN
Urdu (India)
٬ ٫ 11٬027٫00
ur_PK
Urdu (Pakistan)
, . 11,027.00
ur
Urdu
, . 11,027.00
uz_Arab_AF
Uzbek (Arabic, Afghanistan)
٬ ٫ 11٬027٫00
uz_Arab
Uzbek (Arabic)
٬ ٫ 11٬027٫00
uz_Cyrl_UZ
Uzbek (Cyrillic, Uzbekistan)
, 11 027,00
uz_Cyrl
Uzbek (Cyrillic)
, 11 027,00
uz_Latn_UZ
Uzbek (Latin, Uzbekistan)
, 11 027,00
uz_Latn
Uzbek (Latin)
, 11 027,00
uz
Uzbek
, 11 027,00
vai_Latn_LR
Vai (Latin, Liberia)
, . 11,027.00
vai_Latn
Vai (Latin)
, . 11,027.00
vai_Vaii_LR
Vai (Vai, Liberia)
, . 11,027.00
vai_Vaii
Vai (Vai)
, . 11,027.00
vai
Vai
, . 11,027.00
vi_VN
Vietnamese (Vietnam)
. , 11.027,00
vi
Vietnamese
. , 11.027,00
vun_TZ
Vunjo (Tanzania)
, . 11,027.00
vun
Vunjo
, . 11,027.00
wae_CH
Walser (Switzerland)
, 11’027,00
wae
Walser
, 11’027,00
wo_SN
Wolof (Senegal)
. , 11.027,00
wo
Wolof
. , 11.027,00
xog_UG
Soga (Uganda)
, . 11,027.00
xog
Soga
, . 11,027.00
yav_CM
Yangben (Cameroon)
, 11 027,00
yav
Yangben
, 11 027,00
yi_001
Yiddish (World)
, . 11,027.00
yi
Yiddish
, . 11,027.00
yo_BJ
Yoruba (Benin)
, . 11,027.00
yo_NG
Yoruba (Nigeria)
, . 11,027.00
yo
Yoruba
, . 11,027.00
yue_Hans_CN
Cantonese (Simplified, China)
, . 11,027.00
yue_Hans
Cantonese (Simplified)
, . 11,027.00
yue_Hant_HK
Cantonese (Traditional, Hong Kong SAR China)
, . 11,027.00
yue_Hant
Cantonese (Traditional)
, . 11,027.00
yue
Cantonese
, . 11,027.00
zh_Hans_CN
Chinese (Simplified, China)
, . 11,027.00
zh_Hans_HK
Chinese (Simplified, Hong Kong SAR China)
, . 11,027.00
zh_Hans_MO
Chinese (Simplified, Macau SAR China)
, . 11,027.00
zh_Hans_SG
Chinese (Simplified, Singapore)
, . 11,027.00
zh_Hans
Chinese (Simplified)
, . 11,027.00
zh_Hant_HK
Chinese (Traditional, Hong Kong SAR China)
, . 11,027.00
zh_Hant_MO
Chinese (Traditional, Macau SAR China)
, . 11,027.00
zh_Hant_TW
Chinese (Traditional, Taiwan)
, . 11,027.00
zh_Hant
Chinese (Traditional)
, . 11,027.00
zh
Chinese
, . 11,027.00
zu_ZA
Zulu (South Africa)
, . 11,027.00
zu
Zulu
, . 11,027.00

The fmt_currency() function has support for many currencies through its currency option. Here is information on which currencies are supported, their codes, and a preview of their formatting:

info_currencies()
Currencies Supported in gt
Currency codes are used in the fmt_currency() function
Identifiers Exp Formatted Currency
Currency Name Currency Code Currency Number
United Arab Emirates dirham AED 784 2 DH49.95
Afghan afghani AFN 971 2 ؋49.95
Albanian lek ALL 8 2 Lek49.95
Armenian dram AMD 51 2 AMD49.95
Netherlands Antillean guilder ANG 532 2 NAƒ49.95
Angolan kwanza AOA 973 2 Kz49.95
Argentine peso ARS 32 2 $49.95
Australian dollar AUD 36 2 $49.95
Aruban florin AWG 533 2 ƒ49.95
Azerbaijani manat AZN 944 2 ₼49.95
Bosnia and Herzegovina convertible mark BAM 977 2 KM49.95
Barbados dollar BBD 52 2 $49.95
Bangladeshi taka BDT 50 2 ৳49.95
Bulgarian lev BGN 975 2 ‌лв49.95
Bahraini dinar BHD 48 3 BD49.950
Burundian franc BIF 108 0 FBu50
Bermudian dollar BMD 60 2 $49.95
Brunei dollar BND 96 2 B$49.95
Boliviano BOB 68 2 $b49.95
Bolivian Mvdol BOV 984 2 BOV49.95
Brazilian real BRL 986 2 R$49.95
Bahamian dollar BSD 44 2 $49.95
Bhutanese ngultrum BTN 64 2 Nu.49.95
Botswana pula BWP 72 2 P49.95
Belarusian ruble BYR 974 0 p.50
Belize dollar BZD 84 2 BZ$49.95
Canadian dollar CAD 124 2 $49.95
Congolese franc CDF 976 2 FC49.95
WIR Bank CHE 947 2 CHE49.95
Swiss franc CHF 756 2 SFr.49.95
WIR Bank CHW 948 2 CHW49.95
Unidad de Fomento CLF 990 4 UF49.9500
Chilean peso CLP 152 0 $50
Renminbi CNY 156 2 ¥49.95
Colombian peso COP 170 2 $49.95
Unidad de Valor Real COU 970 2 COU49.95
Costa Rican colon CRC 188 2 󋼕.95
Cuban convertible peso CUC 931 2 ₱49.95
Cuban peso CUP 192 2 ₱49.95
Cape Verde escudo CVE 132 0 $50
Czech koruna CZK 203 2 Kč49.95
Djiboutian franc DJF 262 0 Fdj50
Danish krone DKK 208 2 kr.49.95
Dominican peso DOP 214 2 RD$49.95
Algerian dinar DZD 12 2 DA49.95
Egyptian pound EGP 818 2 E£49.95
Eritrean nakfa ERN 232 2 Nfk49.95
Ethiopian birr ETB 230 2 Br49.95
Euro EUR 978 2 €49.95
Fiji dollar FJD 242 2 FJ$49.95
Falkland Islands pound FKP 238 2 FK£49.95
Pound sterling GBP 826 2 £49.95
Georgian lari GEL 981 2 GEL49.95
Ghanaian cedi GHS 936 2 ₵49.95
Gibraltar pound GIP 292 2 £49.95
Gambian dalasi GMD 270 2 D49.95
Guinean franc GNF 324 0 FG50
Guatemalan quetzal GTQ 320 2 Q49.95
Guyana dollar GYD 328 2 GY$49.95
Hong Kong dollar HKD 344 2 HK$49.95
Honduran lempira HNL 340 2 L49.95
Croatian kuna HRK 191 2 kn49.95
Haitian gourde HTG 332 2 G49.95
Hungarian forint HUF 348 2 Ft49.95
Indonesian rupiah IDR 360 2 Rp49.95
Israeli new shekel ILS 376 2 ₪49.95
Isle of Man pound IMP NA 2 M£49.95
Indian rupee INR 356 2 ₹49.95
Iraqi dinar IQD 368 3 ID49.950
Iranian rial IRR 364 2 ﷼49.95
Icelandic krona ISK 352 0 kr50
Jamaican dollar JMD 388 2 $49.95
Jordanian dinar JOD 400 3 JD49.950
Japanese yen JPY 392 0 ¥50
Kenyan shilling KES 404 2 KSh49.95
Kyrgyzstani som KGS 417 2 K.S.49.95
Cambodian riel KHR 116 2 ៛49.95
Comoro franc KMF 174 0 CF50
North Korean won KPW 408 2 ₩49.95
South Korean won KRW 410 0 ₩50
Kuwaiti dinar KWD 414 3 K.D.49.950
Cayman Islands dollar KYD 136 2 CI$49.95
Kazakhstani tenge KZT 398 2 ₸49.95
Lao kip LAK 418 2 ₭49.95
Lebanese pound LBP 422 2 L£49.95
Sri Lankan rupee LKR 144 2 Rs49.95
Liberian dollar LRD 430 2 L$49.95
Lesotho loti LSL 426 2 L49.95
Libyan dinar LYD 434 3 LD49.950
Moroccan dirham MAD 504 2 Dh49.95
Moldovan leu MDL 498 2 MDL49.95
Malagasy ariary MGA 969 1 Ar50.0
Macedonian denar MKD 807 2 ден49.95
Myanmar kyat MMK 104 2 K49.95
Mongolian togrog MNT 496 2 ₮49.95
Macanese pataca MOP 446 1 MOP$50.0
Mauritanian ouguiya MRO 478 1 UM50.0
Mauritian rupee MUR 480 2 Rs49.95
Maldivian rufiyaa MVR 462 2 Rf49.95
Malawian kwacha MWK 454 2 MK49.95
Mexican peso MXN 484 2 Mex$49.95
Mexican Unidad de Inversion MXV 979 2 MXV49.95
Malaysian ringgit MYR 458 2 RM49.95
Mozambican metical MZN 943 2 MT49.95
Namibian dollar NAD 516 2 N$49.95
Nigerian naira NGN 566 2 ₦49.95
Nicaraguan cordoba NIO 558 2 C$49.95
Norwegian krone NOK 578 2 kr49.95
Nepalese rupee NPR 524 2 Rps49.95
New Zealand dollar NZD 554 2 $49.95
Omani rial OMR 512 3 RO49.950
Panamanian balboa PAB 590 2 B/.49.95
Peruvian Sol PEN 604 2 S/49.95
Papua New Guinean kina PGK 598 2 K49.95
Philippine peso PHP 608 2 ₱49.95
Pakistani rupee PKR 586 2 Re.49.95
Polish zloty PLN 985 2 zł49.95
Paraguayan guarani PYG 600 0 ₲50
Qatari riyal QAR 634 2 QR49.95
Romanian Leu RON 946 2 RON49.95
Serbian dinar RSD 941 2 d.49.95
Russian ruble RUB 643 2 ₽49.95
Rwandan franc RWF 646 0 FRw50
Saudi riyal SAR 682 2 SR49.95
Solomon Islands dollar SBD 90 2 SI$49.95
Seychelles rupee SCR 690 2 SR49.95
Sudanese pound SDG 938 2 SDG49.95
Swedish krona SEK 752 2 kr49.95
Singapore dollar SGD 702 2 S$49.95
Saint Helena pound SHP 654 2 £49.95
Sierra Leonean leone SLL 694 2 Le49.95
Somali shilling SOS 706 2 Sh.So.49.95
Surinamese dollar SRD 968 2 $49.95
South Sudanese pound SSP 728 2 SSP49.95
Ṣo Tom̩ and Principe dobra STD 678 2 Db49.95
Syrian pound SYP 760 2 S£49.95
Swazi lilangeni SZL 748 2 L49.95
Thai baht THB 764 2 ฿49.95
Tajikistani somoni TJS 972 2 TJS49.95
Turkmenistani manat TMT 934 2 T49.95
Tunisian dinar TND 788 3 DT49.950
Tongan pa'anga TOP 776 2 T$49.95
Turkish lira TRY 949 2 ₺49.95
Trinidad and Tobago dollar TTD 780 2 TT$49.95
New Taiwan dollar TWD 901 2 NT$49.95
Tanzanian shilling TZS 834 2 TSh49.95
Ukrainian hryvnia UAH 980 2 ₴49.95
Ugandan shilling UGX 800 0 USh50
United States dollar USD 840 2 $49.95
United States dollar USN 997 2 $49.95
United States dollar USS 998 2 $49.95
Uruguay Peso en Unidades Indexadas UYI 940 0 UYI50
Uruguayan peso UYU 858 2 $U49.95
Uzbekistan som UZS 860 2 лв49.95
Venezuelan bolivar VEF 937 2 Bs.49.95
Vietnamese dong VND 704 0 ₫50
Vanuatu vatu VUV 548 0 VT50
Samoan tala WST 882 2 WS$49.95
Central African CFA franc XAF 950 0 FCFA50
Silver XAG 961 NA Ag50
Gold XAU 959 NA Au50
East Caribbean dollar XCD 951 2 $49.95
Special drawing rights XDR 960 NA XDR50
West African CFA franc XOF 952 0 F50
Palladium XPD 964 NA Pd50
CFP franc XPF 953 0 F50
Platinum XPT 962 NA Pt50
XSU XSU 994 NA XSU50
XUA XUA 965 NA XUA50
Yemeni rial YER 886 2 ﷼49.95
South African rand ZAR 710 2 R49.95
Zambian kwacha ZMW 967 2 K49.95

The fmt_date(), fmt_time(), and fmt_datetime() functions use numbered styles as a shortcut for specifying date and time styles. A reference for those can be accessed with:

info_date_style()
Preset Date Formats
Usable in the fmt_date() and fmt_datetime() functions
Date Formats Formatted Date
Number Name
1 iso 2000-02-29
2 wday_month_day_year Tuesday, February 29, 2000
3 wd_m_day_year Tue, Feb 29, 2000
4 wday_day_month_year Tuesday 29 February 2000
5 month_day_year February 29, 2000
6 m_day_year Feb 29, 2000
7 day_m_year 29 Feb 2000
8 day_month_year 29 February 2000
9 day_month 29 February
10 year 2000
11 month February
12 day 29
13 year.mn.day 2000/02/29
14 y.mn.day 00/02/29

and

info_time_style()
Preset Time Formats
Usable in the fmt_time() and fmt_datetime() functions
Time Formats Formatted Time
Number Name
1 hms 14:35:00
2 hm 14:35
3 hms_p 2:35:00 PM
4 hm_p 2:35 PM
5 h_p 2 PM

You may want to use a color palette with data_color(). Pretty much every color palette package in R is contained in the paletteer package. This info function shows them all in a gt table:

info_paletteer()
Palettes Made Easily Available with paletteer
Palettes like these are useful with the data_color() function
Package and Palette Name Color Count and Palette
awtools
a_palette 8
ppalette 8
bpalette 16
gpalette 4
mpalette 9
spalette 6
dichromat
BrowntoBlue_10 10
BrowntoBlue_12 12
BluetoDarkOrange_12 12
BluetoDarkOrange_18 18
DarkRedtoBlue_12 12
DarkRedtoBlue_18 18
BluetoGreen_14 14
BluetoGray_8 8
BluetoOrangeRed_14 14
BluetoOrange_10 10
BluetoOrange_12 12
BluetoOrange_8 8
LightBluetoDarkBlue_10 10
LightBluetoDarkBlue_7 7
Categorical_12 12
GreentoMagenta_16 16
SteppedSequential_5 25
dutchmasters
milkmaid 13
pearl_earring 11
view_of_Delft 12
little_street 11
anatomy 7
staalmeesters 7
ggsci
nrc_npg 10
default_aaas 10
default_nejm 8
lanonc_lancet 9
default_jama 7
default_jco 10
default_ucscgb 26
category10_d3 10
category20_d3 20
category20b_d3 20
category20c_d3 20
default_igv 51
alternating_igv 2
default_locuszoom 7
default_uchicago 9
light_uchicago 9
dark_uchicago 9
hallmarks_dark_cosmic 10
hallmarks_light_cosmic 10
signature_substitutions_cosmic 6
springfield_simpsons 16
planetexpress_futurama 12
schwifty_rickandmorty 12
uniform_startrek 7
legacy_tron 7
default_gsea 12
red_material 10
pink_material 10
purple_material 10
deep_purple_material 10
indigo_material 10
blue_material 10
light_blue_material 10
cyan_material 10
teal_material 10
green_material 10
light_green_material 10
lime_material 10
yellow_material 10
amber_material 10
orange_material 10
deep_orange_material 10
brown_material 10
grey_material 10
blue_grey_material 10
ggpomological
pomological_base 7
pomological_palette 9
ggthemes
calc 12
manyeys 19
gdoc 10
fivethirtyeight 6
colorblind 8
Tableau_10 10
Tableau_20 20
Color_Blind 10
Seattle_Grays 5
Traffic 9
Miller_Stone 11
Superfishel_Stone 10
Nuriel_Stone 9
Jewel_Bright 9
Summer 8
Winter 10
Green_Orange_Teal 12
Red_Blue_Brown 12
Purple_Pink_Gray 12
Hue_Circle 19
Classic_10 10
Classic_10_Medium 10
Classic_10_Light 10
Classic_20 20
Classic_Gray_5 5
Classic_Color_Blind 10
Classic_Traffic_Light 9
Classic_Purple_Gray_6 6
Classic_Purple_Gray_12 12
Classic_Green_Orange_6 6
Classic_Green_Orange_12 12
Classic_Blue_Red_6 6
Classic_Blue_Red_12 12
Classic_Cyclic 13
few_Light 9
few_Medium 9
few_Dark 9
excel_Atlas 6
excel_Badge 6
excel_Berlin 6
excel_Celestial 6
excel_Crop 6
excel_Depth 6
excel_Droplet 6
excel_Facet 6
excel_Feathered 6
excel_Gallery 6
excel_Headlines 6
excel_Integral 6
excel_Ion_Boardroom 6
excel_Ion 6
excel_Madison 6
excel_Main_Event 6
excel_Mesh 6
excel_Office_Theme 6
excel_Organic 6
excel_Parallax 6
excel_Parcel 6
excel_Retrospect 6
excel_Savon 6
excel_Slice 6
excel_Vapor_Trail 6
excel_View 6
excel_Wisp 6
excel_Wood_Type 6
excel_Aspect 6
excel_Blue_Green 6
excel_Blue_II 6
excel_Blue_Warm 6
excel_Blue 6
excel_Grayscale 6
excel_Green_Yellow 6
excel_Green 6
excel_Marquee 6
excel_Median 6
excel_Office_2007_2010 6
excel_Orange_Red 6
excel_Orange 6
excel_Paper 6
excel_Red_Orange 6
excel_Red_Violet 6
excel_Red 6
excel_Slipstream 6
excel_Violet_II 6
excel_Violet 6
excel_Yellow_Orange 6
excel_Yellow 6
wsj_rgby 4
wsj_red_green 2
wsj_black_green 4
wsj_dem_rep 3
wsj_colors6 6
stata_s2color 15
stata_s1rcolor 15
stata_s1color 15
stata_mono 15
stata_economist 15
hc_default 10
hc_darkunica 11
hc_bg 5
hc_fg 12
ghibli
MarnieLight1 7
MarnieMedium1 7
MarnieDark1 7
MarnieLight2 7
MarnieMedium2 7
MarnieDark2 7
PonyoLight 7
PonyoMedium 7
PonyoDark 7
LaputaLight 7
LaputaMedium 7
LaputaDark 7
MononokeLight 7
MononokeMedium 7
MononokeDark 7
SpiritedLight 7
SpiritedMedium 7
SpiritedDark 7
YesterdayLight 7
YesterdayMedium 7
YesterdayDark 7
KikiLight 7
KikiMedium 7
KikiDark 7
TotoroLight 7
TotoroMedium 7
TotoroDark 7
grDevices
blues9 9
jcolors
default 5
pal2 5
pal3 5
pal4 6
pal5 6
pal6 8
pal7 8
pal8 12
pal9 6
pal10 10
pal11 12
pal12 13
rainbow 9
LaCroixColoR
PassionFruit 6
Mango 6
Pure 6
Lime 6
Lemon 6
Orange 6
Berry 6
CranRaspberry 6
Pamplemousse 6
PeachPear 6
Coconut 6
Apricot 6
Tangerine 7
KeyLime 5
PommeBaya 5
CeriseLimon 6
PinaFraise 6
KiwiSandia 7
MelonPomelo 6
MurePepino 6
paired 14
NineteenEightyR
cobra 6
electronic_night 5
hotpink 5
malibu 5
miami1 5
miami2 5
seventies_aint_done_yet 5
sonny 5
sunset1 5
sunset2 5
sunset3 5
youngturqs 12
nord
polarnight 4
snowstorm 3
frost 4
aurora 5
lumina 5
mountain_forms 5
silver_mine 5
lake_superior 6
victory_bonds 5
halifax_harbor 6
moose_pond 8
algoma_forest 7
rocky_mountain 6
red_mountain 8
baie_mouton 7
afternoon_prarie 9
ochRe
namatjira_qual 8
namatjira_div 8
mccrea 11
parliament 8
tasmania 7
nolan_ned 5
winmar 7
olsen_qual 6
olsen_seq 14
williams_pilbara 7
healthy_reef 9
emu_woman_paired 18
galah 6
lorikeet 6
dead_reef 6
jumping_frog 5
palettetown
bulbasaur 13
ivysaur 13
venusaur 14
charmander 13
charmeleon 12
charizard 14
squirtle 14
wartortle 13
blastoise 14
caterpie 12
metapod 5
butterfree 13
weedle 11
kakuna 8
beedrill 14
pidgey 12
pidgeotto 13
pidgeot 14
rattata 13
raticate 13
spearow 15
fearow 12
ekans 12
arbok 10
pikachu 10
raichu 14
sandshrew 10
sandslash 13
nidoranf 11
nidorina 13
nidoqueen 13
nidoranm 10
nidorino 12
nidoking 11
clefairy 13
clefable 12
vulpix 13
ninetales 7
jigglypuff 11
wigglytuff 12
zubat 11
golbat 11
oddish 10
gloom 14
vileplume 13
paras 12
parasect 11
venonat 14
venomoth 11
diglett 4
dugtrio 12
meowth 13
persian 12
psyduck 10
golduck 13
mankey 14
primeape 15
growlithe 11
arcanine 14
poliwag 11
poliwhirl 9
poliwrath 9
abra 8
kadabra 14
alakazam 12
machop 13
machoke 13
machamp 13
bellsprout 13
weepinbell 14
victreebel 14
tentacool 14
tentacruel 14
geodude 6
graveler 6
golem 12
ponyta 11
rapidash 11
slowpoke 12
slowbro 13
magnemite 14
magneton 14
farfetchd 14
doduo 9
dodrio 15
seel 11
dewgong 7
grimer 9
muk 8
shellder 9
cloyster 9
gastly 8
haunter 10
gengar 10
onix 6
drowzee 9
hypno 9
krabby 10
kingler 10
voltorb 9
electrode 10
exeggcute 9
exeggutor 14
cubone 13
marowak 14
hitmonlee 12
hitmonchan 13
lickitung 9
koffing 12
weezing 13
rhyhorn 8
rhydon 11
chansey 9
tangela 9
kangaskhan 14
horsea 10
seadra 10
goldeen 11
seaking 12
staryu 12
starmie 12
mr_mime 12
scyther 12
jynx 15
electabuzz 10
magmar 12
pinsir 9
tauros 13
magikarp 13
gyarados 15
lapras 15
ditto 6
eevee 9
vaporeon 15
jolteon 11
flareon 10
porygon 11
omanyte 12
omastar 12
kabuto 11
kabutops 9
aerodactyl 7
snorlax 14
articuno 12
zapdos 10
moltres 14
dratini 9
dragonair 12
dragonite 13
mewtwo 9
mew 6
chikorita 11
bayleef 14
meganium 14
cyndaquil 13
quilava 14
typhlosion 14
totodile 11
croconaw 13
feraligatr 14
sentret 12
furret 11
hoothoot 13
noctowl 13
ledyba 12
ledian 14
spinarak 14
ariados 14
crobat 9
chinchou 13
lanturn 14
pichu 11
cleffa 11
igglybuff 9
togepi 12
togetic 11
natu 14
xatu 15
mareep 14
flaaffy 13
ampharos 12
bellossom 13
marill 10
azumarill 10
sudowoodo 11
politoed 14
hoppip 10
skiploom 11
jumpluff 13
aipom 12
sunkern 13
sunflora 12
yanma 11
wooper 9
quagsire 9
espeon 9
umbreon 10
murkrow 12
slowking 13
misdreavus 13
unown 5
wobbuffet 8
girafarig 13
pineco 5
forretress 10
dunsparce 13
gligar 12
steelix 7
snubbull 12
granbull 11
qwilfish 12
scizor 11
shuckle 12
heracross 11
sneasel 14
teddiursa 12
ursaring 13
slugma 9
magcargo 12
swinub 9
piloswine 12
corsola 9
remoraid 9
octillery 12
delibird 13
mantine 13
skarmory 12
houndour 11
houndoom 12
kingdra 12
phanpy 9
donphan 13
porygon2 12
stantler 12
smeargle 12
tyrogue 12
hitmontop 12
smoochum 12
elekid 9
magby 10
miltank 15
blissey 9
raikou 13
entei 14
suicune 14
larvitar 9
pupitar 9
tyranitar 11
lugia 9
ho_oh 13
celebi 11
treecko 14
grovyle 14
sceptile 13
torchic 12
combusken 14
blaziken 14
mudkip 14
marshtomp 14
swampert 14
poochyena 14
mightyena 11
zigzagoon 14
linoone 11
wurmple 13
silcoon 9
beautifly 13
cascoon 8
dustox 14
lotad 13
lombre 12
ludicolo 15
seedot 11
nuzleaf 14
shiftry 13
taillow 15
swellow 15
wingull 14
pelipper 15
ralts 11
kirlia 13
gardevoir 12
surskit 12
masquerain 14
shroomish 11
breloom 15
slakoth 14
vigoroth 15
slaking 14
nincada 15
ninjask 13
shedinja 10
whismur 12
loudred 14
exploud 15
makuhita 12
hariyama 15
azurill 11
nosepass 11
skitty 11
delcatty 15
sableye 13
mawile 14
aron 9
lairon 12
aggron 12
meditite 13
medicham 13
electrike 10
manectric 13
plusle 10
minun 13
volbeat 15
illumise 15
roselia 15
gulpin 11
swalot 14
carvanha 13
sharpedo 14
wailmer 15
wailord 13
numel 15
camerupt 13
torkoal 12
spoink 13
grumpig 15
spinda 10
trapinch 10
vibrava 14
flygon 15
cacnea 14
cacturne 12
swablu 12
altaria 12
zangoose 15
seviper 14
lunatone 14
solrock 14
barboach 12
whiscash 15
corphish 13
crawdaunt 15
baltoy 7
claydol 12
lileep 12
cradily 12
anorith 14
armaldo 14
feebas 13
milotic 14
castform 9
kecleon 15
shuppet 12
banette 12
duskull 13
dusclops 11
tropius 15
chimecho 13
absol 11
wynaut 11
snorunt 15
glalie 13
spheal 12
sealeo 15
walrein 12
clamperl 14
huntail 14
gorebyss 12
relicanth 13
luvdisc 9
bagon 11
shelgon 12
salamence 13
beldum 10
metang 13
metagross 13
regirock 13
regice 10
registeel 13
latias 14
latios 14
kyogre 14
groudon 14
rayquaza 12
jirachi 12
deoxys 14
teamrocket 6
starterspairs 6
startersDark 6
pals
alphabet 26
alphabet2 26
glasbey 32
kelly 22
polychrome 36
stepped 24
tol 12
watlington 16
Polychrome
alphabet 26
dark 24
glasbey 32
green_armytage 26
kelly 22
light 24
palette36 36
rcartocolor
ag_Sunset 7
ag_GrnYl 7
Tropic 7
Temps 7
TealRose 7
Geyser 7
Fall 7
Earth 7
ArmyRose 7
Vivid 12
Safe 12
Prism 12
Pastel 12
Bold 12
Antique 12
TealGrn 7
Teal 7
SunsetDark 7
Sunset 7
RedOr 7
PurpOr 7
Purp 7
PinkYl 7
Peach 7
OrYel 7
Mint 7
Magenta 7
Emrld 7
DarkMint 7
BurgYl 7
Burg 7
BrwnYl 7
BluYl 7
BluGrn 7
RColorBrewer
BrBG 11
PiYG 11
PRGn 11
PuOr 11
RdBu 11
RdGy 11
RdYlBu 11
RdYlGn 11
Spectral 11
Accent 8
Dark2 8
Paired 12
Pastel1 9
Pastel2 8
Set1 9
Set2 8
Set3 12
Blues 9
BuGn 9
BuPu 9
GnBu 9
Greens 9
Greys 9
Oranges 9
OrRd 9
PuBu 9
PuBuGn 9
PuRd 9
Purples 9
RdPu 9
Reds 9
YlGn 9
YlGnBu 9
YlOrBr 9
YlOrRd 9
Redmonder
dPBIYlBu 11
dPBIYlPu 11
dPBIPuGn 11
dPBIPuOr 11
dPBIRdBu 11
dPBIRdGy 11
dPBIRdGn 11
qMSOStd 10
qMSO12 8
qMSO15 8
qMSOBuWarm 8
qMSOBu 8
qMSOBu2 8
qMSOBuGn 8
qMSOGn 8
qMSOGnYl 8
qMSOYl 8
qMSOYlOr 8
qMSOOr 8
qMSOOrRd 8
qMSORdOr 8
qMSORd 8
qMSORdPu 8
qMSOPu 8
qMSOPu2 8
qMSOMed 8
qMSOPap 8
qMSOMrq 8
qMSOSlp 8
qMSOAsp 8
qPBI 8
sPBIGn 9
sPBIGy1 9
sPBIRd 9
sPBIYl 9
sPBIGy2 9
sPBIBu 9
sPBIOr 9
sPBIPu 9
sPBIYlGn 9
sPBIRdPu 9
tidyquant
tq_light 12
tq_dark 12
tq_green 12
wesanderson
BottleRocket1 7
BottleRocket2 5
Rushmore1 5
Rushmore 5
Royal1 4
Royal2 5
Zissou1 5
Darjeeling1 5
Darjeeling2 5
Chevalier1 4
FantasticFox1 5
Moonrise1 4
Moonrise2 4
Moonrise3 5
Cavalcanti1 5
GrandBudapest1 4
GrandBudapest2 4
IsleofDogs1 6
IsleofDogs2 5
yarrr
basel 10
pony 9
xmen 8
decision 6
southpark 6
google 4
eternal 7
evildead 6
usualsuspects 7
ohbrother 7
appletv 6
brave 5
bugs 5
cars 5
nemo 5
rat 5
up 5
espresso 5
ipod 7
info 9
info2 14
The paletteer package is maintained by Emil Hvitfeldt. More information can be found on the paletteer site and on the CRAN info page.