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.
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
atoh- 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_Xwhich can be useful for testing with row captions in a table stub- group
a character column with four
grp_avalues and fourgrp_bvalues which can be useful for testing tables that contain row groups
Examples
Here is the exibble.
exibble
#> # A tibble: 8 x 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_bSee also
Other datasets:
countrypops,
gtcars,
pizzaplace,
sp500,
sza