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.
Format
A tibble with 13 rows and 8 variables:
- date_time
A date-time column (of the
POSIXctclass) with dates that correspond exactly to those in thedatecolumn. Time values are somewhat randomized but all 'seconds' values are00.- date
A
Datecolumn with dates from2016-01-04to2016-01-30.- a
An
integercolumn with values ranging from1to8.- b
A
charactercolumn with values that adhere to a common pattern.- c
An
integercolumn with values ranging from2to9. Contains twoNAvalues.- d
A numeric column with values ranging from
108to10000.- e
A
logicalcolumn.- f
A
charactercolumn with"low","mid", and"high"values.
See also
Other Datasets:
game_revenue,
game_revenue_info,
small_table_sqlite(),
specifications
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", "…