With numeric values in a gt table we can transform those to numbers that
are spelled out with fmt_spelled_num()
. 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 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>
// requiredThis 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 (e.g.starts_with()
,ends_with()
,contains()
,matches()
,num_range()
andeverything()
).- rows
Rows to target
<row-targeting expression>
// default:everything()
In conjunction with
columns
, we can specify which of their rows should undergo formatting. The defaulteverything()
results in all rows incolumns
being formatted. Alternatively, we can supply a vector of row captions withinc()
, a vector of row indices, or a select helper function (e.g.starts_with()
,ends_with()
,contains()
,matches()
,num_range()
, andeverything()
). 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 to the locale's rules. Examples include
"en"
for English (United States) and"fr"
for French (France). We can callinfo_locales()
for a useful reference for all of the locales that are supported. A locale ID can be also set in the initialgt()
function call (where it would be used automatically by any function with alocale
argument) but alocale
value provided here will override that global locale.
Compatibility of formatting function with data values
fmt_spelled_num()
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.
Compatibility of arguments with the from_column()
helper function
from_column()
can be used with certain arguments of fmt_spelled_num()
to
obtain varying parameter values from a specified column within the table.
This means that each row could be formatted a little bit differently. These
arguments provide support for from_column()
:
pattern
locale
Please note that for both of the aforementioned arguments, a from_column()
call needs to reference a column that has data of the correct type (this is
different for each argument). Additional columns for parameter values can be
generated with cols_add()
(if not already present). Columns that contain
parameter data can also be hidden from final display with cols_hide()
.
Finally, there is no limitation to how many arguments the from_column()
helper is applied so long as the arguments belong to this closed set.
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. fmt_spelled_num()
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::count(mfr, ctry_origin) |>
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)
With a considerable amount of dplyr and tidyr work done to the
pizzaplace
dataset, we can create a new gt table. fmt_spelled_num()
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))
Let's make a table that compares how the numbers from 1
to 10
are spelled
across a small selection of languages. Here we use fmt_spelled_num()
with
each column, ensuring that the locale
value matches that of the column
name.
dplyr::tibble(
num = 1:10,
en = num,
fr = num,
de = num,
es = num,
pl = num,
bg = num,
ko = num,
zh = num
) |>
gt(rowname_col = "num") |>
fmt_spelled_num(columns = en, locale = "en") |>
fmt_spelled_num(columns = fr, locale = "fr") |>
fmt_spelled_num(columns = de, locale = "de") |>
fmt_spelled_num(columns = es, locale = "es") |>
fmt_spelled_num(columns = pl, locale = "pl") |>
fmt_spelled_num(columns = bg, locale = "bg") |>
fmt_spelled_num(columns = ko, locale = "ko") |>
fmt_spelled_num(columns = zh, locale = "zh") |>
cols_label_with(fn = function(x) md(paste0("`", x, "`"))) |>
tab_spanner(
label = "Numbers in the specified locale",
columns = everything()
) |>
cols_align(align = "left", columns = everything()) |>
cols_width(
c(en, fr, de, es, pl, bg) ~ px(100),
c(ko, zh) ~ px(50)
) |>
opt_horizontal_padding(scale = 2) |>
opt_vertical_padding(scale = 0.5)
See also
The vector-formatting version of this function:
vec_fmt_spelled_num()
.
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
fmt_bytes()
,
fmt_chem()
,
fmt_country()
,
fmt_currency()
,
fmt_date()
,
fmt_datetime()
,
fmt_duration()
,
fmt_email()
,
fmt_engineering()
,
fmt_flag()
,
fmt_fraction()
,
fmt_icon()
,
fmt_image()
,
fmt_index()
,
fmt_integer()
,
fmt_markdown()
,
fmt_number()
,
fmt_partsper()
,
fmt_passthrough()
,
fmt_percent()
,
fmt_roman()
,
fmt_scientific()
,
fmt_tf()
,
fmt_time()
,
fmt_units()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()