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.



A tibble with 8 rows and 9 variables:


a numeric column ordered with increasingly larger values


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


a factor column with numbers from 1 to 8, written out

date, time, datetime

character columns with dates, times, and datetimes


a numeric column that is useful for testing currency-based formatting


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


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

Function ID


See also

Other Datasets: countrypops, gtcars, pizzaplace, sp500, sza


# Here is a glimpse at the data # available in `exibble` dplyr::glimpse(exibble)
#> Rows: 8 #> Columns: 9 #> $ num <dbl> 1.111e-01, 2.222e+00, 3.333e+01, 4.444e+02, 5.550e+03, NA, 7.… #> $ char <chr> "apricot", "banana", "coconut", "durian", NA, "fig", "grapefr… #> $ fctr <fct> one, two, three, four, five, six, seven, eight #> $ date <chr> "2015-01-15", "2015-02-15", "2015-03-15", "2015-04-15", "2015… #> $ time <chr> "13:35", "14:40", "15:45", "16:50", "17:55", NA, "19:10", "20… #> $ datetime <chr> "2018-01-01 02:22", "2018-02-02 14:33", "2018-03-03 03:44", "… #> $ currency <dbl> 49.950, 17.950, 1.390, 65100.000, 1325.810, 13.255, NA, 0.440 #> $ row <chr> "row_1", "row_2", "row_3", "row_4", "row_5", "row_6", "row_7"… #> $ group <chr> "grp_a", "grp_a", "grp_a", "grp_a", "grp_b", "grp_b", "grp_b"…