gt (version 0.2.2)

info_currencies: View a table with info on supported currencies

Description

The fmt_currency() function lets us format numeric values as currencies. The table generated by the info_currencies() function provides a quick reference to all the available currencies. The currency identifiers are provided (name, 3-letter currency code, and 3-digit currency code) along with the each currency's exponent value (number of digits of the currency subunits). A formatted example is provided (based on the value of 49.95) to demonstrate the default formatting of each currency.

Usage

info_currencies(type = c("code", "symbol"), begins_with = NULL)

Arguments

type

The type of currency information provided. Can either be code where currency information corresponding to 3-letter currency codes is provided, or symbol where currency info for common currency names (e.g., dollar, pound, yen, etc.) is returned.

begins_with

Providing a single letter will filter currencies to only those that begin with that letter in their currency code. The default (NULL) will produce a table with all currencies displayed. This option only constrains the information table where type == "code".

Value

An object of class gt_tbl.

Figures

Function ID

10-3

Details

There are 172 currencies, which can lead to a verbose display table. To make this presentation more focused on retrieval, we can provide an initial letter corresponding to the 3-letter currency code to begins_with. This will filter currencies in the info table to just the set beginning with the supplied letter.

See Also

Other Information Functions: info_date_style(), info_google_fonts(), info_locales(), info_paletteer(), info_time_style()

Examples

Run this code
# NOT RUN {
# Get a table of info on all of
# the currencies where the three-
# letter code begins with a "h"
tab_1 <- info_currencies(begins_with = "h")

# Get a table of info on all of the
# common currency name/symbols that
# can be used with `fmt_currency()`
tab_2 <- info_currencies(type = "symbol")

# }

Run the code above in your browser using DataCamp Workspace