A toy example tibble for testing with gt: exibble

This tibble contains data of a few different classes, which makes it well-suited for quick experimentation with the functions in this package. It contains only eight rows with numeric, character, and factor columns. The last 4 rows contain NA values in the majority of this tibble's columns (1 missing value per column). The date, time, and datetime columns are character-based dates/times in the familiar ISO 8601 format. The row and group columns provide for unique rownames and two groups (grp_a and grp_b) for experimenting with the gt() function's rowname_col and groupname_col arguments.

Usage

exibble

Format

A tibble with 8 rows and 9 variables:

num

A numeric column ordered with increasingly larger values.

char

A character column composed of names of fruits from a to h.

fctr

A factor column with numbers from 1 to 8, written out.

date, time, datetime

Character columns with dates, times, and datetimes.

currency

A numeric column that is useful for testing currency-based formatting.

row

A character column in the format row_X which can be useful for testing with row labels in a table stub.

group

A character column with four grp_a values and four grp_b values which can be useful for testing tables that contain row groups.

Dataset ID and Badge

DATA-6

Dataset Introduced

v0.2.0.5 (March 31, 2020)

See also

Other datasets: constants, countrypops, films, gibraltar, gtcars, illness, metro, nuclides, peeps, photolysis, pizzaplace, reactions, rx_addv, rx_adsl, sp500, sza, towny

Examples

exibble
#> # A tibble: 8 × 9
#>           num char       fctr  date       time  datetime    currency row   group
#>         <dbl> <chr>      <fct> <chr>      <chr> <chr>          <dbl> <chr> <chr>
#> 1       0.111 apricot    one   2015-01-15 13:35 2018-01-01…    50.0  row_1 grp_a
#> 2       2.22  banana     two   2015-02-15 14:40 2018-02-02…    18.0  row_2 grp_a
#> 3      33.3   coconut    three 2015-03-15 15:45 2018-03-03…     1.39 row_3 grp_a
#> 4     444.    durian     four  2015-04-15 16:50 2018-04-04… 65100    row_4 grp_a
#> 5    5550     NA         five  2015-05-15 17:55 2018-05-05…  1326.   row_5 grp_b
#> 6      NA     fig        six   2015-06-15 NA    2018-06-06…    13.3  row_6 grp_b
#> 7  777000     grapefruit seven NA         19:10 2018-07-07…    NA    row_7 grp_b
#> 8 8880000     honeydew   eight 2015-08-15 20:20 NA              0.44 row_8 grp_b