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.
exibbleA 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
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
11-6
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"…