View random sample of unique column entries — view

Displays up to n_entry unique entries for the first n_col columns. Note that NA is always included amongst displayed entries if present.

Usage

view_cols(x, n_entry = 20, n_entry_num = 5, n_col = 100, silent = FALSE)

Arguments

x: dataframe. Dataframe for which unique column entries should be displayed.
n_entry: integer. Maximum of unique entries to display per column. Set equal to Inf if you want to see all unique column entries. Default is 20.
n_entry_num: Maximum number of unique entries to display for numeric columns. Set equal to Inf if you want to see all unique entries. If NULL, then n_entry is used for numeric columns as well. Default is 5.
n_col: integer. Maximum number of columns to display unique entries for. A message is by default displayed if fewer than all the columns have their data data displayed. Set equal to Inf if all columns should be displayed. If not an integer but still a number, then the integer component number of columns is displayed. Default for n_col is 1e2.
silent: logical. If TRUE, then a message about there being fewer columns displayed than total columns available is not printed. Default is FALSE.

Examples

test_df <- data.frame(x = rnorm(1e3), y = sample(c("a", "b"),
  size = 1e3,
  replace = TRUE
))
view_cols(test_df)
#> [1] "x"
#> [1] 0.1704266 1.6025593 0.2664109 1.4066223 0.3140215
#> [1] "_____________________"
#> [1] "y"
#> [1] "a" "b"
#> [1] "_____________________"