This is a small table with a few different types of columns. It's probably just useful when testing the functions from pointblank. Rows 9 and 10 are exact duplicates. The c column contains two NA values.

small_table

Format

A tibble with 13 rows and 8 variables:

date_time

A date-time column (of the POSIXct class) with dates that correspond exactly to those in the date column. Time values are somewhat randomized but all 'seconds' values are 00.

date

A Date column with dates from 2016-01-04 to 2016-01-30.

a

An integer column with values ranging from 1 to 8.

b

A character column with values that adhere to a common pattern.

c

An integer column with values ranging from 2 to 9. Contains two NA values.

d

A numeric column with values ranging from 108 to 10000.

e

A logical column.

f

A character column with "low", "mid", and "high" values.

Function ID

10-1

See also

Examples

# Here is a glimpse at the data # available in `small_table` dplyr::glimpse(small_table)
#> Rows: 13 #> Columns: 8 #> $ date_time <dttm> 2016-01-04 11:00:00, 2016-01-04 00:32:00, 2016-01-05 13:32:… #> $ date <date> 2016-01-04, 2016-01-04, 2016-01-05, 2016-01-06, 2016-01-09,… #> $ a <int> 2, 3, 6, 2, 8, 4, 7, 4, 3, 3, 4, 2, 1 #> $ b <chr> "1-bcd-345", "5-egh-163", "8-kdg-938", "5-jdo-903", "3-ldm-0… #> $ c <dbl> 3, 8, 3, NA, 7, 4, 3, 2, 9, 9, 7, 8, NA #> $ d <dbl> 3423.29, 9999.99, 2343.23, 3892.40, 283.94, 3291.03, 843.34,… #> $ e <lgl> TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FAL… #> $ f <chr> "high", "low", "high", "mid", "low", "mid", "high", "low", "…