Format values to spelled-out numbers

With numeric values in a gt table we can transform those to numbers that are spelled out with the fmt_spelled_num() function. Any values from 0 to 100 can be spelled out so, for example, the value 23 will be formatted as "twenty-three". Providing a locale ID will result in the number spelled out in the locale's language rules. For example, should a Swedish locale ("sv") be provided, the input value 23 will yield "tjugotre". In addition to this, we can optionally use the pattern argument for decoration of the formatted values.

Usage

fmt_spelled_num(
  data,
  columns = everything(),
  rows = everything(),
  pattern = "{x}",
  locale = NULL
)

Arguments

data

The gt table data object

obj:<gt_tbl> --- required

This is the gt table object that is commonly created through use of the gt() function.

columns

Columns to target

<column-targeting expression> --- default: everything()

Can either be a series of column names provided in c(), a vector of column indices, or a select helper function. Examples of select helper functions include starts_with(), ends_with(), contains(), matches(), one_of(), num_range(), and everything().

rows

Rows to target

<row-targeting expression> --- default: everything()

In conjunction with columns, we can specify which of their rows should undergo formatting. The default everything() results in all rows in columns being formatted. Alternatively, we can supply a vector of row captions within c(), a vector of row indices, or a select helper function. Examples of select helper functions include starts_with(), ends_with(), contains(), matches(), one_of(), num_range(), and everything(). We can also use expressions to filter down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50).

pattern

Specification of the formatting pattern

scalar<character> --- default: "{x}"

A formatting pattern that allows for decoration of the formatted value. The formatted value is represented by the {x} (which can be used multiple times, if needed) and all other characters will be interpreted as string literals.

locale

Locale identifier

scalar<character> --- default: NULL (optional)

An optional locale identifier that can be used for formatting values according the locale's rules. Examples include "en" for English (United States) and "fr" for French (France). We can use the info_locales() function as a useful reference for all of the locales that are supported. A locale ID can be also set in the initial gt() function call (where it would be used automatically by any function with a locale argument) but a locale value provided here will override that global locale.

Value

An object of class gt_tbl.

Compatibility of formatting function with data values

The fmt_spelled_num() formatting function is compatible with body cells that are of the "numeric" or "integer" types. Any other types of body cells are ignored during formatting. This is to say that cells of incompatible data types may be targeted, but there will be no attempt to format them.

Targeting cells with `columns` and `rows`

Targeting of values is done through columns and additionally by rows (if nothing is provided for rows then entire columns are selected). The columns argument allows us to target a subset of cells contained in the resolved columns. We say resolved because aside from declaring column names in c() (with bare column names or names in quotes) we can use tidyselect-style expressions. This can be as basic as supplying a select helper like starts_with(), or, providing a more complex incantation like

where(~ is.numeric(.x) && max(.x, na.rm = TRUE) > 1E6)

which targets numeric columns that have a maximum value greater than 1,000,000 (excluding any NAs from consideration).

By default all columns and rows are selected (with the everything() defaults). Cell values that are incompatible with a given formatting function will be skipped over, like character values and numeric fmt_*() functions. So it's safe to select all columns with a particular formatting function (only those values that can be formatted will be formatted), but, you may not want that. One strategy is to format the bulk of cell values with one formatting function and then constrain the columns for later passes with other types of formatting (the last formatting done to a cell is what you get in the final output).

Once the columns are targeted, we may also target the rows within those columns. This can be done in a variety of ways. If a stub is present, then we potentially have row identifiers. Those can be used much like column names in the columns-targeting scenario. We can use simpler tidyselect-style expressions (the select helpers should work well here) and we can use quoted row identifiers in c(). It's also possible to use row indices (e.g., c(3, 5, 6)) though these index values must correspond to the row numbers of the input data (the indices won't necessarily match those of rearranged rows if row groups are present). One more type of expression is possible, an expression that takes column values (can involve any of the available columns in the table) and returns a logical vector. This is nice if you want to base formatting on values in the column or another column, or, you'd like to use a more complex predicate expression.

Supported locales

The following 80 locales are supported in the locale argument of fmt_spelled_num(): "af" (Afrikaans), "ak" (Akan), "am" (Amharic), "ar" (Arabic), "az" (Azerbaijani), "be" (Belarusian), "bg" (Bulgarian), "bs" (Bosnian), "ca" (Catalan), "ccp" (Chakma), "chr" (Cherokee), "cs" (Czech), "cy" (Welsh), "da" (Danish), "de" (German), "de-CH" (German (Switzerland)), "ee" (Ewe), "el" (Greek), "en" (English), "eo" (Esperanto), "es" (Spanish), "et" (Estonian), "fa" (Persian), "ff" (Fulah), "fi" (Finnish), "fil" (Filipino), "fo" (Faroese), "fr" (French), "fr-BE" (French (Belgium)), "fr-CH" (French (Switzerland)), "ga" (Irish), "he" (Hebrew), "hi" (Hindi), "hr" (Croatian), "hu" (Hungarian), "hy" (Armenian), "id" (Indonesian), "is" (Icelandic), "it" (Italian), "ja" (Japanese), "ka" (Georgian), "kk" (Kazakh), "kl" (Kalaallisut), "km" (Khmer), "ko" (Korean), "ky" (Kyrgyz), "lb" (Luxembourgish), "lo" (Lao), "lrc" (Northern Luri), "lt" (Lithuanian), "lv" (Latvian), "mk" (Macedonian), "ms" (Malay), "mt" (Maltese), "my" (Burmese), "ne" (Nepali), "nl" (Dutch), "nn" (Norwegian Nynorsk), "no" (Norwegian), "pl" (Polish), "pt" (Portuguese), "qu" (Quechua), "ro" (Romanian), "ru" (Russian), "se" (Northern Sami), "sk" (Slovak), "sl" (Slovenian), "sq" (Albanian), "sr" (Serbian), "sr-Latn" (Serbian (Latin)), "su" (Sundanese), "sv" (Swedish), "sw" (Swahili), "ta" (Tamil), "th" (Thai), "tr" (Turkish), "uk" (Ukrainian), "vi" (Vietnamese), "yue" (Cantonese), and "zh" (Chinese).

Examples

Let's use a summarized version of the gtcars dataset to create a gt table. The fmt_spelled_num() function is used to transform integer values into spelled-out numbering (in the n column). That formatted column of numbers-as-words is given cell background colors via data_color() (the underlying numerical values are always available).

gtcars |>
  dplyr::select(mfr, ctry_origin) |>
  dplyr::group_by(mfr, ctry_origin) |>
  dplyr::count() |>
  dplyr::ungroup() |>
  dplyr::arrange(ctry_origin) |>
  gt(rowname_col = "mfr", groupname_col = "ctry_origin") |>
  cols_label(n = "No. of Entries") |>
  fmt_spelled_num() |>
  tab_stub_indent(rows = everything(), indent = 2) |>
  data_color(
    columns = n,
    method = "numeric",
    palette = "viridis",
    alpha = 0.8
  ) |>
  opt_all_caps() |>
  opt_vertical_padding(scale = 0.5) |>
  cols_align(align = "center", columns = n)

This image of a table was generated from the first code example in the `fmt_spelled_num()` help file.

With a considerable amount of dplyr and tidyr work done to the pizzaplace dataset, we can create a new gt table. The fmt_spelled_num() function will be used here to transform the integer values in the rank column. We'll do so with a special pattern that puts the word 'Number' in front of every spelled-out number.

pizzaplace |>
  dplyr::mutate(month = lubridate::month(date, label = TRUE)) |>
  dplyr::filter(month %in% month.abb[1:6]) |>
  dplyr::group_by(name, month) |>
  dplyr::summarize(sum = sum(price), .groups = "drop") |>
  dplyr::arrange(month, desc(sum)) |>
  dplyr::group_by(month) |>
  dplyr::slice_head(n = 5) |>
  dplyr::mutate(rank = dplyr::row_number()) |>
  dplyr::ungroup() |>
  dplyr::select(-sum) |>
  tidyr::pivot_wider(names_from = month, values_from = c(name)) |>
  gt() |>
  fmt_spelled_num(columns = rank, pattern = "Number {x}") |>
  opt_all_caps() |>
  cols_align(columns = -rank, align = "center") |>
  cols_width(
    rank ~ px(120),
    everything() ~ px(100)
  ) |>
  opt_table_font(stack = "rounded-sans") |>
  tab_options(table.font.size = px(14))

This image of a table was generated from the second code example in the `fmt_spelled_num()` help file.

Function ID

3-11

Function Introduced

v0.9.0 (Mar 31, 2023)