fmt_spelled_num | R Documentation |
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.
fmt_spelled_num(
data,
columns = everything(),
rows = everything(),
pattern = "{x}",
locale = NULL
)
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
columns |
Columns to target
Can either be a series of column names provided in |
rows |
Rows to target
In conjunction with |
pattern |
Specification of the formatting pattern
A formatting pattern that allows for decoration of the formatted value. The
formatted value is represented by the |
locale |
Locale identifier
An optional locale identifier that can be used for formatting values
according to the locale's rules. Examples include |
An object of class gt_tbl
.
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.
from_column()
helper functionfrom_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.
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).
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)
3-11
v0.9.0
(Mar 31, 2023)
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()
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