fmt_currency: Format values as currencies
In gt: Easily Create Presentation-Ready Display Tables

Description Usage Arguments Details Value Figures Function ID See Also Examples

With numeric values in a gt table, we can perform currency-based formatting. This function supports both automatic formatting with a three-letter or numeric currency code. We can also specify a custom currency that is formatted according to the output context with the currency() helper function. Numeric formatting facilitated through the use of a locale ID. We have fine control over the conversion from numeric values to currency values, where we could take advantage of the following options:

the currency: providing a currency code or common currency name will procure the correct currency symbol and number of currency subunits; we could also use the currency() helper function to specify a custom currency
currency symbol placement: the currency symbol can be placed before or after the values
decimals/subunits: choice of the number of decimal places, and a choice of the decimal symbol, and an option on whether to include or exclude the currency subunits (decimal portion)
negative values: choice of a negative sign or parentheses for values less than zero
digit grouping separators: options to enable/disable digit separators and provide a choice of separator symbol
scaling: we can choose to scale targeted values by a multiplier value
large-number suffixing: larger figures (thousands, millions, etc.) can be autoscaled and decorated with the appropriate suffixes
pattern: option to use a text pattern for decoration of the formatted currency values
locale-based formatting: providing a locale ID will result in currency formatting specific to the chosen locale

We can use the info_currencies() function for a useful reference on all of the possible inputs to the currency argument.

fmt_currency(
  data,
  columns,
  rows = NULL,
  currency = "USD",
  use_subunits = TRUE,
  accounting = FALSE,
  decimals = NULL,
  drop_trailing_dec_mark = TRUE,
  use_seps = TRUE,
  scale_by = 1,
  suffixing = FALSE,
  pattern = "{x}",
  sep_mark = ",",
  dec_mark = ".",
  placement = "left",
  incl_space = FALSE,
  locale = NULL
)

`data`	A table object that is created using the `gt()` function.
`columns`	The columns to format. Can either be a series of column names provided in `vars()`, a vector of column indices, or a helper function focused on selections. The select helper functions are: `starts_with()`, `ends_with()`, `contains()`, `matches()`, `one_of()`, and `everything()`.
`rows`	Optional rows to format. Not providing any value results in all rows in `columns` being formatted. Can either be a vector of row captions provided `c()`, a vector of row indices, or a helper function focused on selections. The select helper functions are: `starts_with()`, `ends_with()`, `contains()`, `matches()`, `one_of()`, and `everything()`. We can also use expressions to filter down to the rows we need (e.g., `[colname_1] > 100 & [colname_2] < 50`).
`currency`	The currency to use for the numeric value. This input can be supplied as a 3-letter currency code (e.g., `"USD"` for U.S. Dollars, `"EUR"` for the Euro currency). Use `info_currencies()` to get an information table with all of the valid currency codes and examples of each. Alternatively, we can provide a common currency name (e.g., `"dollar"`, `"pound"`, `"yen"`, etc.) to simplify the process. Use `info_currencies()` with the `type == "symbol"` option to view an information table with all of the supported currency symbol names along with examples. We can also use the `currency()` helper function to specify a custom currency, where the string could vary across output contexts. For example, using `currency(html = "&fnof;", default = "f")` would give us a suitable glyph for the Dutch guilder in an HTML output table, and it would simply be the letter "f" in all other output contexts). Please note that `decimals` will default to `2` when using the `currency()` helper function. If nothing is provided to `currency` then `"USD"` (U.S. dollars) will be used.
`use_subunits`	An option for whether the subunits portion of a currency value should be displayed. By default, this is `TRUE`.
`accounting`	An option to use accounting style for currency values. With `FALSE` (the default), negative values will be shown with a minus sign. Using `accounting = TRUE` will put negative values in parentheses.
`decimals`	An option to specify the exact number of decimal places to use. The default number of decimal places is `2`.
`drop_trailing_dec_mark`	A logical value that determines whether decimal marks should always appear even if there are no decimal digits to display after formatting (e.g, `23` becomes `23.`). The default for this is `TRUE`, which means that trailing decimal marks are not shown.
`use_seps`	An option to use digit group separators. The type of digit group separator is set by `sep_mark` and overridden if a locale ID is provided to `locale`. This setting is `TRUE` by default.
`scale_by`	A value to scale the input. The default is `1.0`. All numeric values will be multiplied by this value first before undergoing formatting. This value will be ignored if using any of the `suffixing` options (i.e., where `suffixing` is not set to `FALSE`).
`suffixing`	An option to scale and apply suffixes to larger numbers (e.g., `1924000` can be transformed to `1.92M`). This option can accept a logical value, where `FALSE` (the default) will not perform this transformation and `TRUE` will apply thousands (`K`), millions (`M`), billions (`B`), and trillions (`T`) suffixes after automatic value scaling. We can also specify which symbols to use for each of the value ranges by using a character vector of the preferred symbols to replace the defaults (e.g., `c("k", "Ml", "Bn", "Tr")`). Including `NA` values in the vector will ensure that the particular range will either not be included in the transformation (e.g, `c(NA, "M", "B", "T")` won't modify numbers in the thousands range) or the range will inherit a previous suffix (e.g., with `c("K", "M", NA, "T")`, all numbers in the range of millions and billions will be in terms of millions). Any use of `suffixing` (where it is not set expressly as `FALSE`) means that any value provided to `scale_by` will be ignored.
`pattern`	A formatting pattern that allows for decoration of the formatted value. The value itself is represented by `{x}` and all other characters are taken to be string literals.
`sep_mark`	The mark to use as a separator between groups of digits (e.g., using `sep_mark = ","` with `1000` would result in a formatted value of `1,000`).
`dec_mark`	The character to use as a decimal mark (e.g., using `dec_mark = ","` with `0.152` would result in a formatted value of `0,152`).
`placement`	The placement of the currency symbol. This can be either be `left` (the default) or `right`.
`incl_space`	An option for whether to include a space between the value and the currency symbol. The default is to not introduce a space character.
`locale`	An optional locale ID that can be used for formatting the value according the locale's rules. Examples include `"en_US"` for English (United States) and `"fr_FR"` for French (France). The use of a valid locale ID will override any values provided in `sep_mark` and `dec_mark`. We can use the `info_locales()` function as a useful reference for all of the locales that are supported.

Targeting of values is done through columns and additionally by rows (if nothing is provided for rows then entire columns are selected). A number of helper functions exist to make targeting more effective. Conditional formatting is possible by providing a conditional expression to the rows argument. See the Arguments section for more information on this.

An object of class gt_tbl.

3-4

Other Format Data: data_color(), fmt_datetime(), fmt_date(), fmt_markdown(), fmt_missing(), fmt_number(), fmt_passthrough(), fmt_percent(), fmt_scientific(), fmt_time(), fmt(), text_transform()

# Use `exibble` to create a gt table;
# format the `currency` column to have
# currency values in euros (EUR)
tab_1 <-
  exibble %>%
  gt() %>%
  fmt_currency(
    columns = vars(currency),
    currency = "EUR"
  )

# Use `exibble` to create a gt table;
# Keep only the `num` and `currency`,
# columns, then, format those columns
# using the "CNY" and "GBP" currencies
tab_2 <-
  exibble %>%
  dplyr::select(num, currency) %>%
  gt() %>%
  fmt_currency(
    columns = vars(num),
    currency = "CNY"
  ) %>%
  fmt_currency(
    columns = vars(currency),
    currency = "GBP"
  )